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C++ Language Application Programming Interface Reference for Intel® Data Analytics Acceleration Library
Legal Information
Deprecated List
Modules
Algorithms
Analysis
Association Rules
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
association_rules
interface1
Parameter
check
discoverRules
itemsetsOrder
maxItemsetSize
minConfidence
minItemsetSize
minSupport
nTransactions
nUniqueItems
rulesOrder
Input
check
get
set
Result
allocate
check
get
set
InputId
data
ItemsetsOrder
itemsetsUnsorted
itemsetsSortedBySupport
Method
apriori
defaultDense
ResultId
largeItemsets
largeItemsetsSupport
antecedentItemsets
consequentItemsets
confidence
RulesOrder
rulesUnsorted
rulesSortedByConfidence
antecedentItemsets
apriori
confidence
consequentItemsets
data
defaultDense
itemsetsSortedBySupport
itemsetsUnsorted
largeItemsets
largeItemsetsSupport
rulesSortedByConfidence
rulesUnsorted
BACON Outlier Detection
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
bacon_outlier_detection
interface1
Parameter
alpha
initMethod
toleranceToConverge
Input
check
get
set
Result
allocate
check
get
set
InitializationMethod
baconMedian
baconMahalanobis
InputId
data
Method
defaultDense
ResultId
weights
baconMahalanobis
baconMedian
data
defaultDense
weights
Cholesky Decomposition
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
~Batch
clone
getMethod
getResult
setResult
input
cholesky
interface1
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
choleskyFactor
choleskyFactor
data
defaultDense
Correlation Distance Matrix
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
correlation_distance
interface1
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
correlationDistance
correlationDistance
data
defaultDense
Correlation and Variance-Covariance Matrices
Batch
BatchContainerIface
BatchContainerIface
~BatchContainerIface
compute
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, singlePassDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, sumDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, fastCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, singlePassCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, sumCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchImpl
BatchImpl
BatchImpl
clone
getResult
setResult
input
parameter
Batch
Batch
Batch
clone
getMethod
Distributed
DistributedContainerIface
DistributedContainerIface< step2Master >
compute
finalizeCompute
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedIface
DistributedIface< step1Local >
DistributedIface
DistributedIface
clone
DistributedIface< step2Master >
DistributedIface
DistributedIface
checkFinalizeComputeParams
clone
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
Online
OnlineContainerIface
compute
finalizeCompute
OnlineContainer
OnlineContainer< algorithmFPType, defaultDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, singlePassDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, sumDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, fastCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, singlePassCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, sumCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineImpl
OnlineImpl
OnlineImpl
clone
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
Online
Online
clone
getMethod
covariance
interface1
InputIface
Input
check
get
getNumberOfFeatures
set
PartialResult
allocate
check
check
get
getNumberOfFeatures
initialize
set
Parameter
Parameter
outputMatrixType
OnlineParameter
OnlineParameter
OnlineParameter
check
Result
allocate
allocate
check
check
get
set
DistributedInput
DistributedInput< step1Local >
DistributedInput< step2Master >
add
check
get
getNumberOfFeatures
InputId
data
MasterInputId
partialResults
Method
defaultDense
singlePassDense
sumDense
fastCSR
singlePassCSR
sumCSR
OutputMatrixType
covarianceMatrix
correlationMatrix
PartialResultId
nObservations
crossProduct
sum
ResultId
covariance
correlation
mean
correlation
correlationMatrix
covariance
covarianceMatrix
crossProduct
data
defaultDense
fastCSR
mean
nObservations
partialResults
singlePassCSR
singlePassDense
sum
sumCSR
sumDense
Cosine Distance Matrix
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
cosine_distance
interface1
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
cosineDistance
cosineDistance
data
defaultDense
Distributions
Bernoulli Distribution
Batch
interface1
bernoulli
Normal Distribution
Batch
interface1
normal
Uniform Distribution
Batch
interface1
uniform
interface1
distributions
InputId
tableToFill
ResultId
randomNumbers
Engines
Mcg59 Engine
Batch
mcg59
Mt19937 Engine
Batch
mt19937
interface1
engines
Expectation-Maximization
Computation
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
em_gmm
interface1
Parameter
Parameter
check
accuracyThreshold
covariance
covarianceStorage
maxIterations
nComponents
regularizationFactor
Input
Input
Input
check
get
get
get
set
set
set
Result
Result
allocate
check
get
get
get
set
set
InputCovariancesId
inputCovariances
InputId
data
inputWeights
inputMeans
InputValuesId
inputValues
Method
defaultDense
ResultCovariancesId
covariances
ResultId
weights
means
goalFunction
nIterations
covariances
data
defaultDense
goalFunction
inputCovariances
inputMeans
inputValues
inputWeights
means
nIterations
weights
Initialization
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
init
interface1
Parameter
Parameter
check
accuracyThreshold
covarianceStorage
engine
nComponents
nIterations
nTrials
seed
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
get
get
set
set
InputId
data
Method
defaultDense
ResultCovariancesId
covariances
ResultId
weights
means
covariances
data
defaultDense
means
weights
CovarianceStorageId
K-means Clustering
Computation
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
kmeans
Initialization
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step5Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step3Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step4Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step5Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
checkFinalizeComputeParams
checkFinalizeComputeParams
checkFinalizeComputeParams
checkFinalizeComputeParams
checkFinalizeComputeParams
checkFinalizeComputeParams
clone
clone
clone
clone
clone
clone
compute
compute
compute
compute
compute
compute
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
Distributed
DistributedContainer
DistributedContainer
DistributedContainer
DistributedContainer
DistributedContainer
DistributedContainer
finalizeCompute
finalizeCompute
finalizeCompute
finalizeCompute
finalizeCompute
finalizeCompute
getMethod
getMethod
getMethod
getMethod
getMethod
getMethod
getPartialResult
getPartialResult
getPartialResult
getPartialResult
getPartialResult
getPartialResult
getResult
getResult
getResult
setPartialResult
setPartialResult
setPartialResult
setPartialResult
setPartialResult
setPartialResult
setResult
setResult
setResult
~DistributedContainer
~DistributedContainer
~DistributedContainer
~DistributedContainer
~DistributedContainer
~DistributedContainer
Distributed
DistributedContainer
input
input
input
input
input
input
parameter
parameter
parameter
parameter
parameter
parameter
init
Kernel Functions
Linear Kernel
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getParameter
input
parameter
kernel_function
linear
interface1
Parameter
b
k
Input
check
Method
defaultDense
fastCSR
defaultDense
fastCSR
Radial Basis Function Kernel
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getParameter
input
parameter
kernel_function
rbf
interface1
Parameter
sigma
Input
check
Method
defaultDense
fastCSR
defaultDense
fastCSR
kernel_function
interface1
KernelIface
KernelIface
clone
getInput
getParameter
getResult
setResult
ParameterBase
computationMode
rowIndexResult
rowIndexX
rowIndexY
Input
get
set
Result
allocate
check
get
set
ComputationMode
vectorVector
matrixVector
matrixMatrix
InputId
X
Y
ResultId
values
matrixMatrix
matrixVector
values
vectorVector
X
Y
Math Functions
Absolute Value(abs)
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
abs
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
InputId
data
Method
defaultDense
fastCSR
ResultId
value
data
defaultDense
fastCSR
value
Hyperbolic Tangent
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
math
tanh
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
InputId
data
Method
defaultDense
fastCSR
ResultId
value
data
defaultDense
fastCSR
value
Logistic
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
logistic
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
value
data
defaultDense
value
Rectifier Linear Unit (ReLU)
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
relu
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
InputId
data
Method
defaultDense
fastCSR
ResultId
value
data
defaultDense
fastCSR
value
Smooth Rectifier Linear Unit(SmoothReLU)
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
smoothrelu
interface1
Input
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
value
data
defaultDense
value
Softmax
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
softmax
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
value
data
defaultDense
value
math
Moments of Low Order
Batch
BatchContainerIface
compute
BatchContainer
BatchContainer
~BatchContainer
compute
BatchImpl
BatchImpl
BatchImpl
clone
getResult
setResult
input
parameter
Batch
Batch
Batch
clone
getMethod
Distributed
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
low_order_moments
interface1
InputIface
Input
check
get
getNumberOfColumns
set
PartialResult
allocate
check
check
get
getNumberOfColumns
initialize
set
Parameter
Parameter
estimatesToCompute
Result
allocate
allocate
check
check
get
set
DistributedInput
add
check
get
getNumberOfColumns
set
EstimatesToCompute
estimatesAll
estimatesMinMax
estimatesMeanVariance
InputId
data
MasterInputId
partialResults
Method
defaultDense
singlePassDense
sumDense
fastCSR
singlePassCSR
sumCSR
PartialResultId
nObservations
partialMinimum
partialMaximum
partialSum
partialSumSquares
partialSumSquaresCentered
ResultId
minimum
maximum
sum
sumSquares
sumSquaresCentered
mean
secondOrderRawMoment
variance
standardDeviation
variation
data
defaultDense
estimatesAll
estimatesMeanVariance
estimatesMinMax
fastCSR
maximum
mean
minimum
nObservations
partialMaximum
partialMinimum
partialResults
partialSum
partialSumSquares
partialSumSquaresCentered
secondOrderRawMoment
singlePassCSR
singlePassDense
standardDeviation
sum
sumCSR
sumDense
sumSquares
sumSquaresCentered
variance
variation
Multivariate Outlier Detection
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
multivariate_outlier_detection
interface1
InitIface
operator()
DefaultInit
operator()
Parameter
Parameter< defaultDense >
initializationProcedure
Parameter< baconDense >
alpha
initMethod
toleranceToConverge
Input
check
get
set
Result
allocate
check
get
set
BaconInitializationMethod
baconMedian
baconMahalanobis
InputId
data
location
scatter
threshold
Method
defaultDense
baconDense
ResultId
weights
baconDense
baconMahalanobis
baconMedian
data
defaultDense
location
scatter
threshold
weights
Normalization
Min-max
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
minmax
interface1
ParameterBase
ParameterBase
check
lowerBound
moments
upperBound
Parameter
Parameter
Parameter
Input
Input
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
normalizedData
data
defaultDense
normalizedData
Z-score
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
BatchImpl
BatchImpl
BatchImpl
clone
getParameter
getResult
setResult
input
Batch
Batch
Batch
clone
getMethod
getParameter
zscore
interface1
interface2
Input
Input
Input
check
get
set
InputId
data
Method
defaultDense
sumDense
ResultId
normalizedData
means
variances
ResultToComputeId
mean
variance
ResultToComputeId
mean
variance
eigenvalue
data
defaultDense
mean
means
normalizedData
sumDense
variance
variances
normalization
Optimization Solvers
Adaptive Gradient Descent Algorithm
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
adagrad
interface1
Parameter
Parameter
check
batchIndices
degenerateCasesThreshold
engine
learningRate
seed
Input
check
get
set
Result
allocate
check
get
set
Method
defaultDense
OptionalDataId
gradientSquareSum
defaultDense
gradientSquareSum
Iterative Solver
Batch
Batch
Batch
clone
createResult
getInput
getParameter
getResult
iterative_solver
interface1
Parameter
Parameter
Parameter
check
accuracyThreshold
batchSize
function
nIterations
optionalResultRequired
Input
check
get
get
get
set
set
set
Result
allocate
check
get
get
get
set
set
set
InputId
inputArgument
OptionalDataId
lastIteration
OptionalInputId
optionalArgument
OptionalResultId
optionalResult
ResultId
minimum
nIterations
inputArgument
lastIteration
minimum
nIterations
optionalArgument
optionalResult
Limited-Memory-Broyden-Fletcher-Goldfarb-Shanno Algorithm
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
lbfgs
interface1
Parameter
Parameter
check
correctionPairBatchIndices
correctionPairBatchSize
engine
L
m
seed
stepLengthSequence
Input
check
get
set
Result
allocate
check
get
set
Method
defaultDense
OptionalDataId
correctionPairs
correctionIndices
averageArgumentLIterations
averageArgumentLIterations
correctionIndices
correctionPairs
defaultDense
Objective Function
Batch
Batch
Batch
Batch
~Batch
clone
getResult
setResult
Mean Squared Error Algorithm
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
~Batch
Batch
allocate
clone
getMethod
input
parameter
mse
interface1
Parameter
Parameter
Parameter
check
Input
Input
Input
~Input
check
get
set
InputId
argument
data
dependentVariables
Method
defaultDense
argument
data
defaultDense
dependentVariables
Objective function with precomputed characteristics
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
~Batch
Batch
allocate
clone
getMethod
input
parameter
precomputed
Sum of Functions
Batch
Batch
Batch
Batch
~Batch
clone
sumOfFunctionsInput
sumOfFunctionsParameter
sum_of_functions
interface1
Parameter
Parameter
Parameter
check
batchIndices
numberOfTerms
Input
Input
Input
~Input
check
get
set
InputId
argument
argument
objective_function
interface1
Parameter
Parameter
Parameter
resultsToCompute
Input
Input
Input
~Input
check
get
set
Result
Result
~Result
allocate
check
get
set
InputId
argument
ResultId
gradientIdx
valueIdx
hessianIdx
ResultToComputeId
gradient
value
hessian
argument
gradient
gradientIdx
hessian
hessianIdx
value
valueIdx
Stochastic Gradient Descent Algorithm
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
sgd
interface1
BaseParameter
BaseParameter
check
batchIndices
engine
learningRateSequence
seed
Parameter
Parameter< defaultDense >
Parameter
check
Parameter< miniBatch >
Parameter
check
conservativeSequence
Method
defaultDense
miniBatch
momentum
OptionalDataId
pastUpdateVector
pastWorkValue
defaultDense
miniBatch
momentum
pastUpdateVector
pastWorkValue
BatchIface
Principal Component Analysis
Batch
BatchContainer
BatchContainer< algorithmFPType, correlationDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, svdDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, correlationDense, cpu >
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, correlationDense, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step1Local, algorithmFPType, svdDense, cpu >
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, svdDense, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, correlationDense >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, svdDense >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer< algorithmFPType, correlationDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, svdDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online< algorithmFPType, correlationDense >
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online< algorithmFPType, svdDense >
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
PCA Transformation
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
transform
interface1
Input
Input
Input
~Input
check
get
get
get
set
set
set
Result
Result
~Result
allocate
check
get
set
Parameter
Parameter
nComponents
InputId
data
eigenvectors
Method
defaultDense
ResultId
transformedData
TransformComponentId
mean
variance
eigenvalue
TransformDataInputId
dataForTransform
data
dataForTransform
defaultDense
eigenvalue
eigenvectors
mean
transformedData
variance
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
parameter
explained variance
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
explained_variance
quality_metric_set
pca
interface1
InputIface
getNFeatures
isCorrelation
Input
check
get
getNFeatures
set
set
PartialResultBase
PartialResult
PartialResult< daal::algorithms::pca::correlationDense >
allocate
check
check
get
initialize
set
PartialResult< daal::algorithms::pca::svdDense >
add
allocate
check
check
get
get
get
initialize
set
set
BaseParameter
BaseParameter
OnlineParameter
OnlineParameter< algorithmFPType, correlationDense >
OnlineParameter
check
covariance
OnlineParameter< algorithmFPType, svdDense >
OnlineParameter
check
DistributedParameter
DistributedParameter< step2Master, algorithmFPType, correlationDense >
DistributedParameter
check
covariance
DistributedInput
DistributedInput< correlationDense >
add
check
get
getNFeatures
getPartialResult
set
DistributedInput< svdDense >
add
check
get
getNFeatures
getPartialResult
set
BaseBatchParameter
BaseBatchParameter
isDeterministic
nComponents
resultsToCompute
BatchParameter
BatchParameter< algorithmFPType, correlationDense >
BatchParameter
check
covariance
BatchParameter< algorithmFPType, svdDense >
BatchParameter
check
normalization
Result
allocate
allocate
check
check
checkImpl
get
get
set
set
InputCorrelationId
correlation
InputDatasetId
data
Method
correlationDense
defaultDense
svdDense
PartialCorrelationResultId
PartialSVDCollectionResultId
auxiliaryData
distributedInputs
PartialSVDTableResultId
ResultCollectionId
dataForTransform
ResultId
eigenvalues
eigenvectors
means
variances
Step2MasterInputId
partialResults
auxiliaryData
correlation
correlationDense
data
dataForTransform
defaultDense
distributedInputs
eigenvalue
eigenvalues
eigenvectors
mean
means
partialResults
svdDense
variance
variances
add
add
add
allocate
allocate
BaseParameter
check
check
check
check
check
check
check
check
check
check
DistributedParameter
get
get
get
get
get
get
get
getNFeatures
getNFeatures
getNFeatures
getNFeatures
getPartialResult
getPartialResult
initialize
initialize
isCorrelation
OnlineParameter
OnlineParameter
set
set
set
set
set
set
set
covariance
covariance
QR Decomposition
Pivoted QR Decomposition
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
pivoted_qr
interface1
Parameter
permutedColumns
Input
Input
Input
~Input
check
get
set
Result
Result
~Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
matrixQ
matrixR
permutationMatrix
data
defaultDense
matrixQ
matrixR
permutationMatrix
QR Decomposition without Pivoting
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
qr
interface1
Input
Input
Input
~Input
check
get
set
DistributedStep2Input
DistributedStep2Input
DistributedStep2Input
add
check
get
getNBlocks
getNumberOfColumns
set
DistributedStep3Input
DistributedStep3Input
DistributedStep3Input
check
get
set
OnlinePartialResult
OnlinePartialResult
~OnlinePartialResult
addPartialResultStorage
allocate
check
check
get
getNumberOfColumns
getNumberOfRows
initialize
set
Result
Result
~Result
allocate
allocate
allocateImpl
check
check
get
set
DistributedPartialResult
DistributedPartialResult
~DistributedPartialResult
allocate
check
check
get
get
set
set
setPartialResultStorage
DistributedPartialResultStep3
DistributedPartialResultStep3
~DistributedPartialResultStep3
allocate
check
check
get
set
setPartialResultStorage
Parameter
Parameter
DistributedPartialResultCollectionId
outputOfStep2ForStep3
DistributedPartialResultId
finalResultFromStep2Master
DistributedPartialResultStep3Id
finalResultFromStep3
FinalizeOnLocalInputId
inputOfStep3FromStep1
inputOfStep3FromStep2
InputId
data
MasterInputId
inputOfStep2FromStep1
Method
defaultDense
PartialResultId
outputOfStep1ForStep3
outputOfStep1ForStep2
ResultId
matrixQ
matrixR
data
defaultDense
finalResultFromStep2Master
finalResultFromStep3
inputOfStep2FromStep1
inputOfStep3FromStep1
inputOfStep3FromStep2
matrixQ
matrixR
outputOfStep1ForStep2
outputOfStep1ForStep3
outputOfStep2ForStep3
Quality Metrics
Quality Metrics for Binary Classification Algorithms
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
binary_confusion_matrix
Quality Metrics for Multi-class Classification Algorithms
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
multiclass_confusion_matrix
Quantile
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
quantiles
interface1
Parameter
quantileOrders
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
quantiles
data
defaultDense
quantiles
Singular Value Decomposition
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
svd
interface1
Parameter
Parameter
leftSingularMatrix
rightSingularMatrix
Input
Input
Input
~Input
check
get
set
DistributedStep2Input
DistributedStep2Input
DistributedStep2Input
add
check
get
getNumberOfColumns
set
DistributedStep3Input
DistributedStep3Input
DistributedStep3Input
check
get
set
OnlinePartialResult
OnlinePartialResult
~OnlinePartialResult
addPartialResultStorage
allocate
check
check
get
initialize
set
Result
Result
~Result
allocate
allocate
allocateImpl
check
check
get
set
DistributedPartialResult
DistributedPartialResult
~DistributedPartialResult
allocate
check
check
get
get
get
set
set
setPartialResultStorage
DistributedPartialResultStep3
DistributedPartialResultStep3
~DistributedPartialResultStep3
allocate
check
check
get
set
setPartialResultStorage
DistributedPartialResultCollectionId
outputOfStep2ForStep3
DistributedPartialResultId
finalResultFromStep2Master
DistributedPartialResultStep3Id
finalResultFromStep3
FinalizeOnLocalInputId
inputOfStep3FromStep1
inputOfStep3FromStep2
InputId
data
MasterInputId
inputOfStep2FromStep1
Method
defaultDense
PartialResultId
outputOfStep1ForStep3
outputOfStep1ForStep2
ResultId
singularValues
leftSingularMatrix
rightSingularMatrix
SVDResultFormat
notRequired
requiredInPackedForm
data
defaultDense
finalResultFromStep2Master
finalResultFromStep3
inputOfStep2FromStep1
inputOfStep3FromStep1
inputOfStep3FromStep2
leftSingularMatrix
notRequired
outputOfStep1ForStep2
outputOfStep1ForStep3
outputOfStep2ForStep3
requiredInPackedForm
rightSingularMatrix
singularValues
Sorting
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
sorting
interface1
Input
check
get
set
Result
allocate
check
get
set
InputId
data
Method
defaultDense
ResultId
sortedData
data
defaultDense
sortedData
Univariate Outlier Detection
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
univariate_outlier_detection
interface1
InitIface
operator()
DefaultInit
operator()
Parameter
check
initializationProcedure
Input
check
get
set
Result
allocate
check
get
set
InputId
data
location
scatter
threshold
Method
defaultDense
ResultId
weights
data
defaultDense
location
scatter
threshold
weights
AnalysisContainerIface
Analysis
Base Classes
interface1
AlgorithmIface
checkComputeParams
checkResult
getErrors
getMethod
AlgorithmIfaceImpl
AlgorithmIfaceImpl
enableChecks
getErrors
isChecksEnabled
Algorithm
Algorithm
checkFinalizeComputeParams
checkPartialResult
Algorithm< batch >
Algorithm
checkComputeParams
AlgorithmContainer< batch >
AlgorithmContainer
compute
resetCompute
setupCompute
AlgorithmContainerImpl< batch >
AlgorithmContainerImpl
getResult
resetCompute
setArguments
setupCompute
AlgorithmDispatchContainer< batch, sse2Container DAAL_KERNEL_AVX512_mic_ONLY(avx512_micContainer) >
AlgorithmDispatchContainer
compute
resetCompute
setupCompute
AlgorithmContainerIface
AlgorithmContainerIfaceImpl
AlgorithmContainerIfaceImpl
setEnvironment
AlgorithmContainer
AlgorithmContainer
compute
finalizeCompute
resetCompute
resetFinalizeCompute
setupCompute
setupFinalizeCompute
AlgorithmContainerImpl
AlgorithmContainerImpl
getResult
resetCompute
resetFinalizeCompute
setArguments
setPartialResult
setResult
setupCompute
setupFinalizeCompute
AlgorithmDispatchContainer
AlgorithmDispatchContainer
compute
finalizeCompute
resetCompute
setupCompute
Kernel
Batch
getResult
setInput
Batch
compute
computeNoThrow
getErrors
getInputDataCollection
getResultCollection
_inputData
inputAlgorithms
InputAlgorithmsCollection
InputAlgorithmsCollection
clear
getKeyByIndex
operator[]
operator[]
size
InputDataCollection
add
getInput
ResultCollection
Parameter
ValidationMetricIface
Model
Model
getSerializationTag
PredictionContainerIface
DistributedPredictionContainerIface
Prediction
DistributedPrediction
TrainingContainerIface
Training
Training and Prediction
Base Decision Forest
ResultToComputeId
VariableImportanceMode
Base Decision Tree
decision_tree
Base Gradient Boosted Trees
SplitMethod
exact
inexact
defaultSplit
Classification
Base Classifier
Prediction
Batch
Batch
Batch
clone
getInput
getResult
setResult
prediction
Training
Batch
Batch
clone
getInput
getResult
resetResult
setResult
Online
Online
Online
clone
getPartialResult
getResult
setPartialResult
setResult
input
training
Parameter
nClasses
Boosting
Adaboost Classifier
Prediction
Batch
interface1
Method
defaultDense
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Parameter
Parameter
Parameter
accuracyThreshold
maxIterations
Brownboost Classifier
Prediction
Batch
interface1
Method
defaultDense
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Parameter
Parameter
Parameter
accuracyThreshold
degenerateCasesThreshold
maxIterations
newtonRaphsonAccuracyThreshold
newtonRaphsonMaxIterations
Logitboost Classifier
Prediction
Batch
interface1
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
Method
defaultDense
defaultDense
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Parameter
Parameter
Parameter
accuracyThreshold
maxIterations
nClasses
responsesDegenerateCasesThreshold
weightsDegenerateCasesThreshold
Prediction
Batch
Batch
Batch
clone
Batch
clone
Training
Batch
Batch
clone
Weak Learner
Prediction
Batch
Batch
Batch
clone
prediction
interface1
Batch
clone
Stump
Prediction
Batch
prediction
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
stump
Training
Batch
Batch
Batch
clone
getResult
training
weak_learner
Parameter
Parameter
Parameter
Parameter
weakLearnerPrediction
weakLearnerTraining
Model
Model
addWeakLearnerModel
getNumberOfFeatures
getNumberOfWeakLearners
getWeakLearnerModel
Decision Forest Classification
Prediction
Batch
interface1
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
Method
defaultDense
defaultDense
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
checkComputeParams
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Model
clear
numberOfTrees
traverseBF
traverseDF
Decision Tree Classification
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Parameter
Parameter
check
maxTreeDepth
minObservationsInLeafNodes
pruning
splitCriterion
Gradient Boosted Trees Classification
Prediction
Batch
interface1
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
parameter
parameter
input
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
~Batch
checkComputeParams
clone
getInput
getMethod
getResult
parameter
parameter
resetResult
input
training
Model
clear
numberOfTrees
traverseBF
traverseDF
Multi-class Classifier
Prediction
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
parameter
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
multi_class_classifier
ParameterBase
prediction
training
Naive Bayes Classifier
Prediction
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
parameter
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
Distributed
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
Online
clone
getMethod
getPartialResult
getResult
resetResult
setResult
parameter
training
multinomial_naive_bayes
Support Vector Machine Classifier
Prediction
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
svm
Parameter
accuracyThreshold
C
cacheSize
doShrinking
kernel
maxIterations
shrinkingStep
tau
k-Nearest Neighbors
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
kdtree_knn_classification
Neural Networks
Initializers
Gaussian Initializer
Batch
interface1
gaussian
Truncated Gaussian Initializer
Batch
interface1
truncated_gaussian
Uniform Initializer
Batch
interface1
uniform
Xavier Initializer
Batch
interface1
xavier
interface1
initializers
Layers
Absolute Value (Abs) Layer
Backward Absolute Value (Abs) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Absolute Value (Abs) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
abs
Batch
Batch
parameter
Backward Base Layer
backward
LayerIface
addInput
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
LayerIfaceImpl
addInput
Batch Normalization Layer
Backward Batch Normalization Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Batch Normalization Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
batch_normalization
Batch
Batch
parameter
Concat Layer
Backward Concat Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Concat Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
concat
Batch
Batch
parameter
Dropout Layer
Backward Dropout Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Dropout Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
dropout
Batch
Batch
parameter
Element-wise Sum Layer
Backward Element-wise Sum layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Element-wise Sum Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
eltwise_sum
Batch
parameter
Exponential Linear Unit (ELU) Layer
Backward Exponential Linear Unit (ELU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
Forward Exponential Linear Unit (ELU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
elu
Batch
Batch
parameter
Forward Base Layer
forward
LayerIface
addInput
allocateInput
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
initializeInput
LayerIfaceImpl
addInput
allocateInput
getLayerForPrediction
initializeInput
LayerContainerIfaceImpl
allocateInput
initializeInput
resetCompute
setupCompute
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
addNext
index
layer
nextLayers
Fully-connected Layer
Backward Fully-connected Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Fully-connected Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
fullyconnected
Batch
Batch
parameter
Hyperbolic Tangent Layer
Backward Hyperbolic Tangent Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Hyperbolic Tangent Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
tanh
Batch
Batch
parameter
Local Response Normalization Layer
Backward Local Response Normalization Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Local Response Normalization Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
lrn
Batch
Batch
parameter
Local contrast normalization (LCN) Layer
Backward Local contrast normalization (LCN) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Local contrast normalization (LCN) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
lcn
Batch
Batch
parameter
Logistic Layer
Backward Logistic Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Logistic Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
logistic
Batch
Batch
parameter
Loss Layer
Backward Loss Layer
Batch
Batch
Batch
Batch
clone
backward
Forward Loss Layer
Batch
Batch
Batch
Batch
clone
forward
Logistic Cross-entropy Layer
Backward Logistic Cross-entropy Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Logistic Cross-entropy Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
logistic_cross
Batch
Batch
parameter
Softmax Cross-entropy Layer
Backward Softmax Cross-entropy Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Softmax Cross-entropy Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
softmax_cross
Batch
Batch
parameter
loss
One-dimensional Pooling Layer
Backward One-dimensional Pooling Layer
backward
Forward One-dimensional Pooling Layer
forward
One-dimensional Average Pooling Layer
Backward One-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward One-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
average_pooling1d
Batch
Batch
parameter
One-dimensional Max Pooling Layer
Backward One-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward One-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
maximum_pooling1d
Batch
Batch
parameter
pooling1d
Parametric Rectifier Linear Unit (pReLU) Layer
Backward Parametric Rectifier Linear Unit (pReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Parametric Rectifier Linear Unit (pReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
prelu
Batch
Batch
parameter
Rectifier Linear Unit (ReLU) Layer
Backward Rectifier Linear Unit (ReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
interface1
Input
Input
Input
check
get
set
Result
Result
allocate
check
Forward Rectifier Linear Unit (ReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
relu
Batch
Batch
parameter
Reshape Layer
Backward Reshape Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Reshape Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
reshape
Batch
Batch
Batch
parameter
Smooth Rectifier Linear Unit (SmoothReLU) Layer
Backward Smooth Rectifier Linear Unit (SmoothReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Smooth Rectifier Linear Unit (SmoothReLU) Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
smoothrelu
Batch
Batch
parameter
Softmax Layer
Backward Softmax Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Softmax Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
softmax
Batch
Batch
parameter
Split Layer
Backward Split Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Split Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
split
Batch
Batch
parameter
Three-dimensional Pooling Layer
Backward Three-dimensional Pooling Layer
backward
Forward Three-dimensional Pooling Layer
forward
Three-dimensional Average Pooling Layer
Backward Three-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Three-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
average_pooling3d
Batch
Batch
parameter
Three-dimensional Max Pooling Layer
Backward Three-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Three-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
maximum_pooling3d
Batch
Batch
parameter
pooling3d
Two-dimensional Convolution Layer
Backward Two-dimensional Convolution Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Convolution Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
convolution2d
Batch
Batch
parameter
Two-dimensional Locally Connected Layer
Backward Two-dimensional Locally Connected Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Locally Connected Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
locallyconnected2d
Batch
Batch
parameter
Two-dimensional Pooling Layer
Backward Two-dimensional Pooling Layer
backward
Forward Two-dimensional Pooling Layer
forward
Two-dimensional Average Pooling Layer
Backward Two-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Average Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
average_pooling2d
Batch
Batch
parameter
Two-dimensional Max Pooling Layer
Backward Two-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Max Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
maximum_pooling2d
Batch
Batch
parameter
Two-dimensional Stochastic Pooling Layer
Backward Two-dimensional Stochastic Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Stochastic Pooling Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
stochastic_pooling2d
Batch
Batch
parameter
pooling2d
Two-dimensional Spatial Pyramid Pooling Layer
Backward Two-dimensional Spatial Pyramid Pooling Layer
backward
Forward Two-dimensional Spatial Pyramid Pooling Layer
forward
Two-dimensional Spatial pyramid average Pooling Layer
Backward Two-dimensional Spatial pyramid average Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Spatial pyramid average Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
spatial_average_pooling2d
Batch
Batch
parameter
Two-dimensional Spatial pyramid maximum Pooling Layer
Backward Two-dimensional Spatial pyramid maximum Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Spatial pyramid maximum Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
spatial_maximum_pooling2d
Batch
Batch
parameter
Two-dimensional Spatial pyramid stochastic Pooling Layer
Backward Two-dimensional Spatial pyramid stochastic Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Spatial pyramid stochastic Pooling Layer
Batch
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
spatial_stochastic_pooling2d
Batch
Batch
parameter
spatial_pooling2d
Two-dimensional Transposed Convolution Layer
Backward Two-dimensional Transposed Convolution Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
backward
Forward Two-dimensional Transposed Convolution Layer
Batch
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
forward
transposed_conv2d
Batch
Batch
parameter
layers
LayerIface
backwardLayer
forwardLayer
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
addNext
index
layer
nextLayers
Prediction
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
neural_networks
Parameter
Parameter
batchSize
Topology
Topology
Topology
Topology
add
add
addNext
clear
get
get
operator[]
operator[]
push_back
size
ModelInputId
model
ResultCollectionId
predictionCollection
ResultId
prediction
TensorInputId
data
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Batch
Batch
Batch
clone
getMethod
getResult
initialize
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
resetCompute
setupCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
resetCompute
setupCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
clone
getMethod
getPartialResult
getResult
initialize
setPartialResult
input
parameter
training
Topology
Topology
Topology
add
add
addNext
clear
get
get
operator[]
operator[]
push_back
size
InputCollectionId
groundTruthCollection
InputId
data
groundTruth
ResultId
model
Step1LocalInputId
inputModel
Step1LocalPartialResultId
Step2MasterInputId
partialResults
Step2MasterPartialResultId
neural_networks
LearnableParametersIface
Parameter
Parameter
engine
optimizationSolver
Recommendation Systems
Implicit Alternating Least Squares
Prediction
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step4Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Initialization
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step2Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
init
training
implicit_als
Regression
Base Regression
Prediction
Batch
Batch
getResult
setResult
prediction
Training
Batch
Batch
getInput
getResult
setResult
Online
Online
getPartialResult
getResult
setPartialResult
setResult
training
Model
getNumberOfFeatures
Decision Forest Regression
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
input
parameter
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
training
Model
clear
numberOfTrees
traverseBF
traverseDF
Decision Tree for Regression
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
input
parameter
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
training
Parameter
Parameter
check
maxTreeDepth
minObservationsInLeafNodes
pruning
Gradient Boosted Trees Regression
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
getResult
parameter
parameter
input
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
getResult
parameter
parameter
input
training
Model
clear
numberOfTrees
traverseBF
traverseDF
Linear Model
Linear Regression
Prediction
Batch
Batch
Batch< algorithmFPType, defaultDense >
Batch
Batch
clone
getMethod
getResult
input
prediction
Quality Metrics
Batch
Batch
Batch
getInputDataCollection
getResultCollection
parameter
Group of Beta Coefficients
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
group_of_betas
Single Beta Coefficient
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
single_beta
quality_metric_set
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
Online
clone
getMethod
getPartialResult
getResult
input
parameter
training
interface1
InputId
data
dependentVariables
Method
defaultDense
normEqDense
qrDense
PartialResultID
partialModel
ResultId
model
Step2MasterInputId
partialModels
Parameter
ModelNormEq
getXTXTable
getXTYTable
ModelQR
getQTYTable
getRTable
Prediction
Batch
BatchContainer
BatchContainer
compute
Batch
getMethod
getResult
prediction
Ridge Regression
Prediction
Batch
Batch
Batch< algorithmFPType, defaultDense >
Batch
Batch
clone
getMethod
getResult
input
prediction
Training
Batch
BatchContainer
BatchContainer
~BatchContainer
compute
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
Distributed
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Online
Online
Online
clone
getMethod
getPartialResult
getResult
input
parameter
training
interface1
InputIface
getNumberOfDependentVariables
getNumberOfFeatures
Input
Input
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
DistributedInput
PartialResult
allocate
check
check
get
getNumberOfDependentVariables
getNumberOfFeatures
initialize
set
DistributedInput< step2Master >
add
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
Result
allocate
allocate
check
check
get
set
InputId
data
dependentVariables
Method
defaultDense
normEqDense
PartialResultID
partialModel
ResultId
model
Step2MasterInputId
partialModels
data
defaultDense
dependentVariables
model
normEqDense
partialModel
partialModels
add
allocate
allocate
allocate
check
check
check
check
check
check
get
get
get
get
getNumberOfDependentVariables
getNumberOfDependentVariables
getNumberOfDependentVariables
getNumberOfDependentVariables
getNumberOfFeatures
getNumberOfFeatures
getNumberOfFeatures
getNumberOfFeatures
initialize
Input
set
set
set
set
Parameter
ModelNormEq
getXTXTable
getXTYTable
Training
Batch
Batch
getResult
Online
Online
getPartialResult
getResult
training
Parameter
interceptFlag
Tree regression
TreeNodeVisitor
onLeafNode
onSplitNode
algorithms
Data Management
Data Compression
Bzip2CompressionParameter
Bzip2CompressionParameter
Compressor< bzip2 >
Compressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Decompressor< bzip2 >
Decompressor
run
run
setInputDataBlock
setInputDataBlock
parameter
LzoCompressionParameter
LzoCompressionParameter
postHeadBytes
preHeadBytes
RleCompressionParameter
RleCompressionParameter
isBlockHeader
ZlibCompressionParameter
ZlibCompressionParameter
gzHeader
DataBlockCollection
CompressionLevel
defaultLevel
level0
level1
level2
level3
level4
level5
level6
level7
level8
level9
CompressionMethod
zlib
lzo
rle
bzip2
Bzip2CompressionParameter
Compressor
Decompressor
run
run
run
run
setInputDataBlock
setInputDataBlock
setInputDataBlock
setInputDataBlock
parameter
parameter
Data Dictionaries
NumericTableFeature
NumericTableFeature
getSerializationTag
operator=
setType
Dictionary
Dictionary
Dictionary
getErrors
getFeaturesEqual
getNumberOfFeatures
getSerializationTag
operator[]
resetDictionary
setAllFeatures
setAllFeatures
setFeature
setFeature
setNumberOfFeatures
Data Model
DataCollection
DataCollection
DataCollection
DataCollection
clear
deserializeImpl
erase
get
get
operator<<
operator[]
operator[]
push_back
resize
serializeImpl
size
KeyValueCollection
KeyValueCollection
KeyValueCollection
clear
getKeyByIndex
getValueByIndex
getValueByIndex
operator[]
operator[]
size
SerializableKeyValueCollection
SerializableKeyValueCollection
SerializableKeyValueCollection
getIndexNumType
getInternalNumType
getPMMLNumType
Data Serialization and Deserialization
DataArchiveIface
copyArchiveToArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getMajorVersion
getMinorVersion
getSizeOfArchive
getUpdateVersion
read
setMajorVersion
setMinorVersion
setUpdateVersion
write
DataBlockIface
getPtr
getSharedPtr
getSize
setPtr
setPtr
setSize
SerializationIface
deserialize
deserializeImpl
getSerializationTag
serialize
serializeImpl
AbstractCreator
AbstractCreator
create
getTag
Data Sources
CsvDataSource
FeatureManager
CsvDataSource
createDictionaryFromContext
getFeatureManager
getNumberOfAvailableRows
getNumericTableNumberOfColumns
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
setDictionary
CSVFeatureManager
CSVFeatureManager
parseRowAsDictionary
parseRowIn
setDelimiter
DataSourceIface
DataSourceStatus
readyForLoad
waitingForRows
endOfData
notReady
DictionaryCreationFlag
notDictionaryFromContext
doDictionaryFromContext
NumericTableAllocationFlag
notAllocateNumericTable
doAllocateNumericTable
allocateNumericTable
createDictionaryFromContext
freeNumericTable
getDictionary
getDictionarySharedPtr
getNumberOfAvailableRows
getNumberOfColumns
getNumericTable
getNumericTableNumberOfColumns
getStatus
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
setDictionary
CategoricalFeatureDictionary
StringRowFeatureManagerIface
parseRowAsDictionary
parseRowIn
FileDataSource
FeatureManager
FileDataSource
createDictionaryFromContext
getStatus
MySQLFeatureManager
createDictionary
setLimitQuery
statementResultsNumericTable
ODBCDataSource
DataSourceStatus
DictionaryCreationFlag
NumericTableAllocationFlag
ODBCDataSource
createDictionaryFromContext
freeHandles
getNumberOfAvailableRows
getStatus
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
StringDataSource
FeatureManager
StringDataSource
createDictionaryFromContext
getData
getStatus
resetData
setData
Numeric Tables
AOSNumericTable
AOSNumericTable
AOSNumericTable
AOSNumericTable
getArray
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setFeature
setOffset
CSRBlockDescriptor
freeRowsBuffer
freeValuesBuffer
getBlockValuesPtr
getBlockValuesSharedPtr
getDataSize
getNumberOfColumns
getNumberOfRows
reset
resizeRowsBuffer
resizeValuesBuffer
setRowIndicesPtr
setRowIndicesPtr
HomogenNumericTable
baseDataType
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
assign
assign
assign
assign
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
operator[]
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setArray
setArray
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
MergedNumericTable
MergedNumericTable
MergedNumericTable
MergedNumericTable
addNumericTable
allocateBasicStatistics
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getDataMemoryStatus
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
resize
RowMergedNumericTable
RowMergedNumericTable
RowMergedNumericTable
addNumericTable
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getDataMemoryStatus
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
resize
SOANumericTable
SOANumericTable
SOANumericTable
SOANumericTable
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setDictionary
PackedArrayNumericTableIface
getPackedArray
getPackedArray
getPackedArray
releasePackedArray
releasePackedArray
releasePackedArray
Numeric Tensors
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
assign
createDefaultSubtensorLayout
createRawSubtensorLayout
getArray
getArraySharedPtr
getSampleTensor
getSubtensor
getSubtensor
getSubtensor
getSubtensorEx
getSubtensorEx
getSubtensorEx
getTensorLayout
releaseSubtensor
releaseSubtensor
releaseSubtensor
setArray
setArray
setDimensions
setDimensions
SubtensorDescriptor
SubtensorDescriptor
freeBuffer
getFixedDimNums
getFixedDims
getInplaceFlag
getLayout
getNumberOfDims
getPtr
getRangeDimIdx
getRangeDimNum
getRWFlag
getSharedPtr
getSize
getSubtensorDimSizes
reset
resizeBuffer
saveOffsetLayout
saveOffsetLayoutCopy
setDetails
setPtr
TensorIface
AllocationFlag
doNotAllocate
notAllocate
doAllocate
MemoryStatus
notAllocated
userAllocated
internallyAllocated
allocateDataMemory
check
freeDataMemory
getSampleTensor
setDimensions
setDimensions
TensorLayoutIface
shuffleDimensions
TensorLayout
getDimensions
TensorOffsetLayout
TensorOffsetLayout
TensorOffsetLayout
getIndices
getOffsets
getSerializationTag
isLayout
shuffleDimensions
DenseTensorIface
getSubtensor
getSubtensor
getSubtensor
getSubtensorEx
getSubtensorEx
getSubtensorEx
releaseSubtensor
releaseSubtensor
releaseSubtensor
Tensor
Tensor
Tensor
allocateDataMemory
check
freeDataMemory
getDataMemoryStatus
getDimensions
getDimensionSize
getErrors
getNumberOfDimensions
getSize
getSize
data_management
Services
Extracting Version Information
LibraryVersionInfo
build
build_rev
majorVersion
minorVersion
name
processor
productStatus
updateVersion
Handling Errors
String
String
String
~String
add
c_str
get
length
operator+
operator[]
Exception
Exception
~Exception
what
ErrorDetail
ErrorDetail
~ErrorDetail
addNext
clone
describe
id
next
next
ErrorDetailID
NoErrorMessageDetailFound
Row
Column
Rank
StatisticsName
Method
Iteration
Component
Minor
ArgumentName
ElementInCollection
Dimension
ParameterName
OptionalInput
OptionalResult
Layer
SerializationTag
ExpectedValue
ActualValue
ErrorID
ErrorMethodNotSupported
ErrorIncorrectNumberOfFeatures
ErrorIncorrectNumberOfObservations
ErrorIncorrectSizeOfArray
ErrorNullParameterNotSupported
ErrorIncorrectNumberOfArguments
ErrorIncorrectInputNumericTable
ErrorEmptyInputNumericTable
ErrorIncorrectDataRange
ErrorPrecomputedStatisticsIndexOutOfRange
ErrorIncorrectNumberOfInputNumericTables
ErrorIncorrectNumberOfOutputNumericTables
ErrorNullInputNumericTable
ErrorNullOutputNumericTable
ErrorNullModel
ErrorInconsistentNumberOfRows
ErrorIncorrectSizeOfInputNumericTable
ErrorIncorrectSizeOfOutputNumericTable
ErrorIncorrectNumberOfRowsInInputNumericTable
ErrorIncorrectNumberOfColumnsInInputNumericTable
ErrorIncorrectNumberOfRowsInOutputNumericTable
ErrorIncorrectNumberOfColumnsInOutputNumericTable
ErrorIncorrectTypeOfInputNumericTable
ErrorIncorrectTypeOfOutputNumericTable
ErrorIncorrectNumberOfElementsInInputCollection
ErrorIncorrectNumberOfElementsInResultCollection
ErrorNullInput
ErrorNullResult
ErrorIncorrectParameter
ErrorModelNotFullInitialized
ErrorInconsistentNumberOfColumns
ErrorIncorrectIndex
ErrorDataArchiveInternal
ErrorNullPartialModel
ErrorNullInputDataCollection
ErrorNullOutputDataCollection
ErrorNullPartialResult
ErrorIncorrectNumberOfInputNumericTensors
ErrorIncorrectNumberOfOutputNumericTensors
ErrorNullTensor
ErrorIncorrectNumberOfDimensionsInTensor
ErrorIncorrectSizeOfDimensionInTensor
ErrorNullLayerData
ErrorIncorrectSizeOfLayerData
ErrorNullNumericTable
ErrorIncorrectNumberOfColumns
ErrorIncorrectNumberOfRows
ErrorIncorrectTypeOfNumericTable
ErrorUnsupportedCSRIndexing
ErrorSignificanceLevel
ErrorAccuracyThreshold
ErrorIncorrectNumberOfBetas
ErrorIncorrectNumberOfBetasInReducedModel
ErrorNumericTableIsNotSquare
ErrorNullAuxiliaryAlgorithm
ErrorNullInitializationProcedure
ErrorNullAuxiliaryDataCollection
ErrorEmptyAuxiliaryDataCollection
ErrorIncorrectElementInCollection
ErrorNullPartialResultDataCollection
ErrorIncorrectElementInPartialResultCollection
ErrorIncorrectElementInNumericTableCollection
ErrorNullOptionalResult
ErrorIncorrectOptionalResult
ErrorIncorrectOptionalInput
ErrorIncorrectNumberOfPartialClusters
ErrorIncorrectTotalNumberOfPartialClusters
ErrorIncorrectDataCollectionSize
ErrorIncorrectValueInTheNumericTable
ErrorIncorrectItemInDataCollection
ErrorNullPtr
ErrorUndefinedFeature
ErrorCloneMethodFailed
ErrorCpuIsInvalid
ErrorCpuNotSupported
ErrorMemoryAllocationFailed
ErrorEmptyDataBlock
ErrorIncorrectCombinationOfComputationModeAndStep
ErrorDictionaryAlreadyAvailable
ErrorDictionaryNotAvailable
ErrorNumericTableNotAvailable
ErrorNumericTableAlreadyAllocated
ErrorNumericTableNotAllocated
ErrorPrecomputedSumNotAvailable
ErrorPrecomputedMinNotAvailable
ErrorPrecomputedMaxNotAvailable
ErrorServiceMicroTableInternal
ErrorEmptyCSRNumericTable
ErrorEmptyHomogenNumericTable
ErrorSourceDataNotAvailable
ErrorEmptyDataSource
ErrorIncorrectClassLabels
ErrorIncorrectSizeOfModel
ErrorIncorrectTypeOfModel
ErrorIncorrectErrorcodeFromGenerator
ErrorLeapfrogUnsupported
ErrorSkipAheadUnsupported
ErrorInputSigmaMatrixHasNonPositiveMinor
ErrorInputSigmaMatrixHasIllegalValue
ErrorIncorrectInternalFunctionParameter
ErrorUserCancelled
ErrorAprioriIncorrectItemsetTableSize
ErrorAprioriIncorrectSupportTableSize
ErrorAprioriIncorrectLeftRuleTableSize
ErrorAprioriIncorrectRightRuleTableSize
ErrorAprioriIncorrectConfidenceTableSize
ErrorAprioriIncorrectInputData
ErrorCholeskyInternal
ErrorInputMatrixHasNonPositiveMinor
ErrorCovarianceInternal
ErrorEMMatrixInverse
ErrorEMIncorrectToleranceToConverge
ErrorEMIllConditionedCovarianceMatrix
ErrorEMIncorrectMaxNumberOfIterations
ErrorEMNegativeDefinedCovarianceMartix
ErrorEMEmptyComponent
ErrorEMCovariance
ErrorEMIncorrectNumberOfComponents
ErrorEMInitNoTrialConverges
ErrorEMInitIncorrectToleranceToConverge
ErrorEMInitIncorrectDepthNumberIterations
ErrorEMInitIncorrectNumberOfTrials
ErrorEMInitIncorrectNumberOfComponents
ErrorEMInitInconsistentNumberOfComponents
ErrorVarianceComputation
ErrorKMeansNumberOfClustersIsTooLarge
ErrorLinearRegressionInternal
ErrorNormEqSystemSolutionFailed
ErrorLinRegXtXInvFailed
ErrorLowOrderMomentsInternal
ErrorIncorrectNumberOfClasses
ErrorMultiClassNullTwoClassTraining
ErrorMultiClassFailedToTrainTwoClassClassifier
ErrorMultiClassFailedToComputeTwoClassPrediction
ErrorEmptyInputCollection
ErrorOutlierDetectionInternal
ErrorPCAFailedToComputeCorrelationEigenvalues
ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly
ErrorIncorrectCrossProductTableSize
ErrorCrossProductTableIsNotSquare
ErrorInputCorrelationNotSupportedInOnlineAndDistributed
ErrorQRInternal
ErrorQrIthParamIllegalValue
ErrorQrXBDSQRDidNotConverge
ErrorStumpIncorrectSplitFeature
ErrorStumpInvalidInputCategoricalData
ErrorSvdIthParamIllegalValue
ErrorSvdXBDSQRDidNotConverge
ErrorLCNinnerConvolution
ErrorSVMPredictKernerFunctionCall
ErrorCompressionNullInputStream
ErrorCompressionNullOutputStream
ErrorCompressionEmptyInputStream
ErrorCompressionEmptyOutputStream
ErrorZlibInternal
ErrorZlibDataFormat
ErrorZlibParameters
ErrorZlibMemoryAllocationFailed
ErrorZlibNeedDictionary
ErrorBzip2Internal
ErrorBzip2DataFormat
ErrorBzip2Parameters
ErrorBzip2MemoryAllocationFailed
ErrorLzoInternal
ErrorLzoOutputStreamSizeIsNotEnough
ErrorLzoDataFormat
ErrorLzoDataFormatLessThenHeader
ErrorLzoDataFormatNotFullBlock
ErrorRleInternal
ErrorRleOutputStreamSizeIsNotEnough
ErrorRleDataFormat
ErrorRleDataFormatLessThenHeader
ErrorRleDataFormatNotFullBlock
ErrorLowerBoundGreaterThanOrEqualToUpperBound
ErrorQuantileOrderValueIsInvalid
ErrorQuantilesInternal
ErrorALSInternal
ErrorALSInconsistentSparseDataBlocks
ErrorSorting
ErrorNegativeLearningRate
ErrorMeanAndStandardDeviationComputing
ErrorNullVariance
ErrorMinAndMaxComputing
ErrorZeroNumberOfTerms
ErrorConvolutionInternal
ErrorIncorrectKernelSise1
ErrorIncorrectKernelSise2
ErrorRidgeRegressionInternal
ErrorRidgeRegressionNormEqSystemSolutionFailed
ErrorRidgeRegressionInvertFailed
ErrorInconsistenceModelAndBatchSizeInParameter
ErrorNeuralNetworkLayerCall
ErrorSplitLayerBackward
ErrorPivotedQRInternal
ErrorDFBootstrapVarImportanceIncompatible
ErrorDFBootstrapOOBIncompatible
ErrorGbtIncorrectNumberOfTrees
ErrorGbtPredictIncorrectNumberOfIterations
ErrorUserAllocatedMemory
ErrorDataSourseNotAvailable
ErrorHandlesSQL
ErrorODBC
ErrorSQLstmtHandle
ErrorOnFileOpen
ErrorOnFileRead
ErrorKDBNoConnection
ErrorKDBWrongCredentials
ErrorKDBNetworkError
ErrorKDBServerError
ErrorKDBTypeUnsupported
ErrorKDBWrongTypeOfOutput
ErrorIncorrectEngineParameter
ErrorEmptyInputAlgorithmsCollection
ErrorObjectDoesNotSupportSerialization
ErrorCouldntAttachCurrentThreadToJavaVM
ErrorCouldntCreateGlobalReferenceToJavaObject
ErrorCouldntFindJavaMethod
ErrorCouldntFindClassForJavaObject
ErrorCouldntDetachCurrentThreadFromJavaVM
UnknownError
NoErrorMessageFound
Managing Memory
Collection
Collection
Collection
Collection
Collection
~Collection
capacity
clear
erase
get
get
insert
insert
operator<<
operator[]
operator[]
push_back
resize
size
Atomic
Atomic
Atomic
~Atomic
dec
get
inc
set
DeleterIface
~DeleterIface
operator()
ObjectDeleter
operator()
ServiceDeleter
operator()
EmptyDeleter
operator()
RefCounter
RefCounter
~RefCounter
RefCounterImp
RefCounterImp
~RefCounterImp
SharedPtr
SharedPtr
SharedPtr
SharedPtr
SharedPtr
SharedPtr
~SharedPtr
_remove
get
getStartPtr
operator bool
operator*
operator->
operator=
operator=
reset
reset
reset
useCount
_remove
daal_free
daal_malloc
daal_memcpy_s
dynamicPointerCast
operator=
reinterpretPointerCast
reset
reset
SharedPtr
SharedPtr
staticPointerCast
Managing the Computational Environment
services
CpuType
sse2
ssse3
sse42
avx
avx2
avx512_mic
avx512
avx512_mic_e1
services
Base
Namespaces
Namespace List
daal
algorithms
adaboost
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
association_rules
interface1
bacon_outlier_detection
interface1
boosting
interface1
prediction
interface1
training
interface1
brownboost
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
cholesky
interface1
classifier
interface1
prediction
interface1
quality_metric
binary_confusion_matrix
interface1
multiclass_confusion_matrix
interface1
training
interface1
correlation_distance
interface1
cosine_distance
interface1
covariance
interface1
decision_forest
classification
interface1
prediction
interface1
training
interface1
regression
interface1
prediction
interface1
training
interface1
training
interface1
decision_tree
classification
interface1
prediction
interface1
training
interface1
regression
interface1
prediction
interface1
training
interface1
distributions
bernoulli
interface1
interface1
normal
interface1
uniform
interface1
em_gmm
init
interface1
interface1
engines
interface1
mcg59
mt19937
gbt
classification
interface1
prediction
interface1
training
interface1
regression
interface1
prediction
interface1
training
interface1
training
interface1
implicit_als
interface1
prediction
ratings
interface1
training
init
interface1
interface1
interface1
kdtree_knn_classification
interface1
prediction
interface1
training
interface1
kernel_function
interface1
linear
interface1
rbf
interface1
kmeans
init
interface1
interface1
linear_model
interface1
prediction
interface1
training
interface1
linear_regression
interface1
prediction
interface1
quality_metric
group_of_betas
interface1
single_beta
interface1
quality_metric_set
interface1
training
interface1
logitboost
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
low_order_moments
interface1
math
abs
interface1
logistic
interface1
relu
interface1
smoothrelu
interface1
softmax
interface1
tanh
interface1
multi_class_classifier
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
multinomial_naive_bayes
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
multivariate_outlier_detection
interface1
neural_networks
initializers
gaussian
interface1
interface1
truncated_gaussian
interface1
uniform
interface1
xavier
interface1
interface1
layers
abs
backward
interface1
forward
interface1
interface1
average_pooling1d
backward
interface1
forward
interface1
interface1
average_pooling2d
backward
interface1
forward
interface1
interface1
average_pooling3d
backward
interface1
forward
interface1
interface1
backward
interface1
batch_normalization
backward
interface1
forward
interface1
interface1
concat
backward
interface1
forward
interface1
interface1
convolution2d
backward
interface1
forward
interface1
interface1
dropout
backward
interface1
forward
interface1
interface1
eltwise_sum
backward
interface1
forward
interface1
interface1
elu
backward
interface1
forward
interface1
interface1
forward
interface1
fullyconnected
backward
interface1
forward
interface1
interface1
interface1
lcn
backward
interface1
forward
interface1
interface1
locallyconnected2d
backward
interface1
forward
interface1
interface1
logistic
backward
interface1
forward
interface1
interface1
loss
backward
interface1
forward
interface1
logistic_cross
backward
interface1
forward
interface1
interface1
softmax_cross
backward
interface1
forward
interface1
interface1
lrn
backward
interface1
forward
interface1
interface1
maximum_pooling1d
backward
interface1
forward
interface1
interface1
maximum_pooling2d
backward
interface1
forward
interface1
interface1
maximum_pooling3d
backward
interface1
forward
interface1
interface1
pooling1d
backward
interface1
forward
interface1
interface1
pooling2d
backward
interface1
forward
interface1
interface1
pooling3d
backward
interface1
forward
interface1
interface1
prelu
backward
interface1
forward
interface1
interface1
relu
backward
interface1
forward
interface1
interface1
reshape
backward
interface1
forward
interface1
interface1
smoothrelu
backward
interface1
forward
interface1
interface1
softmax
backward
interface1
forward
interface1
interface1
spatial_average_pooling2d
backward
interface1
forward
interface1
interface1
spatial_maximum_pooling2d
backward
interface1
forward
interface1
interface1
spatial_pooling2d
backward
interface1
forward
interface1
interface1
spatial_stochastic_pooling2d
backward
interface1
forward
interface1
interface1
split
backward
interface1
forward
interface1
interface1
stochastic_pooling2d
backward
interface1
forward
interface1
interface1
tanh
backward
interface1
forward
interface1
interface1
transposed_conv2d
backward
interface1
forward
interface1
interface1
prediction
interface1
training
interface1
normalization
minmax
interface1
zscore
interface1
interface2
optimization_solver
adagrad
interface1
interface1
iterative_solver
interface1
lbfgs
interface1
mse
interface1
objective_function
interface1
precomputed
sgd
interface1
sum_of_functions
interface1
pca
interface1
quality_metric
explained_variance
interface1
quality_metric_set
interface1
transform
interface1
pivoted_qr
interface1
qr
interface1
quality_metric
interface1
quality_metric_set
interface1
quantiles
interface1
regression
interface1
prediction
interface1
training
interface1
ridge_regression
interface1
prediction
interface1
training
interface1
sorting
interface1
stump
interface1
prediction
interface1
training
interface1
svd
interface1
svm
interface1
prediction
interface1
quality_metric_set
interface1
training
interface1
univariate_outlier_detection
interface1
weak_learner
interface1
prediction
interface1
training
interface1
data_management
data_feature_utils
interface1
services
interface1
Classes
Class List
daal
algorithms
adaboost
interface1
Model
Model
Model
getAlpha
Parameter
Parameter
Parameter
accuracyThreshold
maxIterations
prediction
interface1
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
InputDataCollection
getInput
ResultCollection
getResult
training
interface1
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
check
get
association_rules
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
check
discoverRules
itemsetsOrder
maxItemsetSize
minConfidence
minItemsetSize
minSupport
nTransactions
nUniqueItems
rulesOrder
Result
allocate
check
get
set
bacon_outlier_detection
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
alpha
initMethod
toleranceToConverge
Result
allocate
check
get
set
boosting
interface1
Model
Model
addWeakLearnerModel
getNumberOfFeatures
getNumberOfWeakLearners
getWeakLearnerModel
Parameter
Parameter
Parameter
Parameter
weakLearnerPrediction
weakLearnerTraining
prediction
interface1
Batch
Batch
clone
training
interface1
Batch
clone
brownboost
interface1
Model
Model
Model
getAlpha
Parameter
Parameter
Parameter
accuracyThreshold
degenerateCasesThreshold
maxIterations
newtonRaphsonAccuracyThreshold
newtonRaphsonMaxIterations
prediction
interface1
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
InputDataCollection
getInput
ResultCollection
getResult
training
interface1
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
check
get
cholesky
interface1
Batch
Batch
Batch
~Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Result
allocate
check
get
set
classifier
interface1
Model
getNFeatures
getNumberOfFeatures
setNFeatures
Parameter
nClasses
TreeNodeVisitor
onLeafNode
onSplitNode
prediction
interface1
Batch
Batch
clone
getInput
getResult
setResult
Input
check
get
get
getNumberOfRows
set
set
InputIface
getNumberOfRows
Result
allocate
check
get
set
quality_metric
binary_confusion_matrix
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
beta
Result
allocate
check
get
set
multiclass_confusion_matrix
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
beta
nClasses
Result
allocate
check
get
set
training
interface1
Batch
clone
getInput
getResult
resetResult
setResult
Input
check
get
set
InputIface
Online
Online
clone
getPartialResult
getResult
setPartialResult
setResult
input
PartialResult
check
get
set
Result
check
get
set
correlation_distance
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Result
allocate
check
get
set
cosine_distance
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Result
allocate
check
get
set
covariance
interface1
Batch
Batch
Batch
clone
getMethod
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, fastCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, singlePassCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, singlePassDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, sumCSR, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, sumDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainerIface
BatchContainerIface
~BatchContainerIface
compute
BatchImpl
BatchImpl
BatchImpl
clone
getResult
setResult
input
parameter
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainerIface
DistributedContainerIface< step2Master >
compute
finalizeCompute
DistributedIface
DistributedIface< step1Local >
DistributedIface
DistributedIface
clone
DistributedIface< step2Master >
DistributedIface
DistributedIface
checkFinalizeComputeParams
clone
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedInput
DistributedInput< step1Local >
DistributedInput< step2Master >
add
check
get
getNumberOfFeatures
Input
check
get
getNumberOfFeatures
set
InputIface
Online
Online
Online
clone
getMethod
OnlineContainer
OnlineContainer< algorithmFPType, defaultDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, fastCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, singlePassCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, singlePassDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, sumCSR, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, sumDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainerIface
compute
finalizeCompute
OnlineImpl
OnlineImpl
OnlineImpl
clone
getPartialResult
getResult
setPartialResult
setResult
input
parameter
OnlineParameter
OnlineParameter
OnlineParameter
check
Parameter
Parameter
outputMatrixType
PartialResult
allocate
check
check
get
getNumberOfFeatures
initialize
set
Result
allocate
allocate
check
check
get
set
decision_forest
classification
interface1
Model
clear
numberOfTrees
traverseBF
traverseDF
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
training
interface1
Batch
Batch
Batch
checkComputeParams
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Parameter
Parameter
Result
allocate
check
get
get
set
set
regression
interface1
Model
clear
numberOfTrees
traverseBF
traverseDF
prediction
interface1
Batch
Batch
Batch
clone
getMethod
getResult
input
parameter
BatchContainer
BatchContainer
compute
Input
check
get
get
set
set
Result
allocate
check
get
set
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Input
Input
check
get
set
Parameter
Result
allocate
check
get
get
set
set
training
interface1
Parameter
bootstrap
engine
featuresPerNode
impurityThreshold
maxTreeDepth
memorySavingMode
minObservationsInLeafNode
nTrees
observationsPerTreeFraction
resultsToCompute
seed
varImportance
decision_tree
classification
interface1
Model
Model
deserializeImpl
getNumberOfFeatures
impl
impl
serializeImpl
traverseBF
traverseDF
Parameter
Parameter
check
maxTreeDepth
minObservationsInLeafNodes
pruning
splitCriterion
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
compute
Input
Input
check
get
set
set
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Result
allocate
get
regression
interface1
Model
Model
deserializeImpl
getNumberOfFeatures
impl
impl
serializeImpl
traverseBF
traverseDF
Parameter
Parameter
check
maxTreeDepth
minObservationsInLeafNodes
pruning
prediction
interface1
Batch
Batch
Batch
clone
getMethod
getResult
input
parameter
BatchContainer
BatchContainer
compute
Input
check
get
get
set
set
Result
allocate
check
get
set
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
Result
allocate
get
distributions
bernoulli
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getResult
setResult
parameter
BatchContainer
BatchContainer
compute
Parameter
Parameter
check
p
interface1
BatchBase
input
Input
Input
Input
check
get
set
ParameterBase
engine
Result
Result
allocate
check
deserializeImpl
get
serializeImpl
set
normal
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getResult
setResult
parameter
BatchContainer
BatchContainer
compute
Parameter
Parameter
check
a
sigma
uniform
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getResult
setResult
parameter
BatchContainer
BatchContainer
compute
Parameter
Parameter
check
a
b
em_gmm
init
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
compute
Input
Input
Input
check
get
set
Parameter
Parameter
check
accuracyThreshold
covarianceStorage
engine
nComponents
nIterations
nTrials
seed
Result
Result
allocate
check
get
get
get
set
set
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
get
set
set
set
Parameter
Parameter
check
accuracyThreshold
covariance
covarianceStorage
maxIterations
nComponents
regularizationFactor
Result
Result
allocate
check
get
get
get
set
set
engines
interface1
BatchBase
clone
leapfrog
loadState
saveState
skipAhead
input
Input
Input
Input
check
get
set
Result
Result
allocate
check
deserializeImpl
get
serializeImpl
set
mcg59
interface1
Batch
allocateResult
clone
getMethod
getResult
setResult
BatchContainer
BatchContainer
compute
mt19937
interface1
Batch
allocateResult
clone
getMethod
getResult
setResult
BatchContainer
BatchContainer
compute
gbt
classification
interface1
Model
clear
numberOfTrees
traverseBF
traverseDF
prediction
interface1
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
parameter
parameter
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
Parameter
nIterations
training
interface1
Batch
Batch
Batch
~Batch
checkComputeParams
clone
getInput
getMethod
getResult
parameter
parameter
resetResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Parameter
Parameter
Result
allocate
check
get
set
regression
interface1
Model
clear
numberOfTrees
traverseBF
traverseDF
prediction
interface1
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
getResult
parameter
parameter
input
BatchContainer
BatchContainer
compute
Input
check
get
get
set
set
Parameter
nIterations
Result
allocate
check
get
set
training
interface1
Batch
Batch
Batch
~Batch
clone
getInput
getMethod
getResult
parameter
parameter
input
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Input
Input
check
get
set
Parameter
Result
allocate
check
get
set
training
interface1
Parameter
engine
featuresPerNode
internalOptions
lambda
maxBins
maxIterations
maxTreeDepth
memorySavingMode
minBinSize
minObservationsInLeafNode
minSplitLoss
observationsPerTreeFraction
shrinkage
splitMethod
implicit_als
interface1
Model
Model
Model
getItemsFactors
getUsersFactors
Parameter
Parameter
alpha
lambda
maxIterations
nFactors
preferenceThreshold
PartialModel
PartialModel
PartialModel
PartialModel
PartialModel
getFactors
getIndices
prediction
ratings
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< step1Local >
check
get
getNumberOfItems
getNumberOfUsers
set
Input
check
get
getNumberOfItems
getNumberOfUsers
set
InputIface
getNumberOfItems
getNumberOfUsers
PartialResult
PartialResult
~PartialResult
allocate
check
get
set
Result
allocate
check
get
set
training
init
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step2Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< step1Local >
DistributedInput
DistributedInput
DistributedInput< step2Local >
DistributedInput
DistributedInput
check
get
set
DistributedParameter
DistributedParameter
partition
DistributedPartialResultStep2
DistributedPartialResultStep2
allocate
check
get
set
Input
check
get
getNumberOfItems
set
Parameter
Parameter
engine
fullNUsers
nFactors
seed
PartialResult
PartialResult
allocate
check
get
get
get
set
set
PartialResultBase
PartialResultBase
check
get
get
set
Result
get
set
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step4Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
setPartialResult
input
parameter
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< step1Local >
DistributedInput
DistributedInput
check
get
set
DistributedInput< step2Master >
DistributedInput
DistributedInput
add
check
get
set
DistributedInput< step3Local >
DistributedInput
DistributedInput
check
get
get
get
getNumberOfBlocks
getOffset
getOutBlockIndices
set
set
set
DistributedInput< step4Local >
DistributedInput
DistributedInput
check
get
get
getNumberOfRows
set
set
DistributedPartialResultStep1
DistributedPartialResultStep1
allocate
check
get
set
DistributedPartialResultStep2
DistributedPartialResultStep2
allocate
check
get
set
DistributedPartialResultStep3
DistributedPartialResultStep3
allocate
check
get
get
set
DistributedPartialResultStep4
DistributedPartialResultStep4
allocate
check
get
set
Input
check
get
get
getNumberOfItems
getNumberOfUsers
set
set
Result
Result
allocate
check
get
set
interface1
Algorithm
Algorithm
checkFinalizeComputeParams
checkPartialResult
Algorithm< batch >
Algorithm
checkComputeParams
AlgorithmContainer
AlgorithmContainer
compute
finalizeCompute
resetCompute
resetFinalizeCompute
setupCompute
setupFinalizeCompute
AlgorithmContainer< batch >
AlgorithmContainer
compute
resetCompute
setupCompute
AlgorithmContainerIface
AlgorithmContainerIfaceImpl
AlgorithmContainerIfaceImpl
setEnvironment
AlgorithmContainerImpl
AlgorithmContainerImpl
getResult
resetCompute
resetFinalizeCompute
setArguments
setPartialResult
setResult
setupCompute
setupFinalizeCompute
AlgorithmContainerImpl< batch >
AlgorithmContainerImpl
getResult
resetCompute
setArguments
setupCompute
AlgorithmDispatchContainer
AlgorithmDispatchContainer
compute
finalizeCompute
resetCompute
setupCompute
AlgorithmDispatchContainer< batch, sse2Container DAAL_KERNEL_AVX512_mic_ONLY(avx512_micContainer) >
AlgorithmDispatchContainer
compute
resetCompute
setupCompute
AlgorithmIface
checkComputeParams
checkResult
getErrors
getMethod
AlgorithmIfaceImpl
AlgorithmIfaceImpl
enableChecks
getErrors
isChecksEnabled
AlgorithmImpl
AlgorithmImpl
checkComputeParams
checkFinalizeComputeParams
checkPartialResult
checkResult
compute
computeNoThrow
finalizeCompute
finalizeComputeNoThrow
hostApp
setHostApp
AlgorithmImpl< batch >
AlgorithmImpl
checkComputeParams
checkResult
compute
computeNoThrow
hostApp
setHostApp
Argument
Argument
Argument
Argument
get
operator<<
set
setStorage
size
Input
Input
Input
Input
check
Kernel
Model
Model
getSerializationTag
OptionalArgument
OptionalArgument
OptionalArgument
deserializeImpl
get
serializeImpl
set
Parameter
PartialResult
PartialResult
PartialResult
check
check
deserializeImpl
getInitFlag
getSerializationTag
serializeImpl
setInitFlag
Result
Result
Result
check
check
deserializeImpl
getSerializationTag
serializeImpl
SerializableArgument
SerializableArgument
SerializableArgument
ValidationMetricIface
kdtree_knn_classification
interface1
Model
Model
deserializeImpl
getNumberOfFeatures
impl
impl
serializeImpl
Parameter
Parameter
check
dataUseInModel
engine
k
seed
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
compute
Input
Input
check
get
set
set
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
get
kernel_function
interface1
Input
get
set
KernelIface
KernelIface
clone
getInput
getParameter
getResult
setResult
ParameterBase
computationMode
rowIndexResult
rowIndexX
rowIndexY
Result
allocate
check
get
set
linear
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getParameter
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
Parameter
b
k
rbf
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getParameter
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
Parameter
sigma
kmeans
init
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step3Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step4Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
setPartialResult
input
parameter
Distributed< step5Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step5Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedStep2LocalPlusPlusInput
check
get
get
get
set
set
set
DistributedStep2LocalPlusPlusParameter
DistributedStep2LocalPlusPlusParameter
DistributedStep2LocalPlusPlusParameter
firstIteration
outputForStep5Required
DistributedStep2LocalPlusPlusPartialResult
allocate
check
check
get
get
initialize
set
set
DistributedStep2MasterInput
add
check
get
getNumberOfFeatures
set
DistributedStep3MasterPlusPlusInput
add
check
get
set
DistributedStep3MasterPlusPlusPartialResult
add
allocate
check
check
get
get
get
initialize
DistributedStep4LocalPlusPlusInput
check
get
get
get
set
set
set
DistributedStep4LocalPlusPlusPartialResult
allocate
check
check
get
set
DistributedStep5MasterPlusPlusInput
add
check
get
get
set
set
DistributedStep5MasterPlusPlusPartialResult
allocate
check
check
get
set
Input
check
get
getNumberOfFeatures
set
InputIface
Parameter
Parameter
Parameter
engine
nClusters
nRounds
nRowsTotal
offset
oversamplingFactor
seed
PartialResult
allocate
check
check
get
getNumberOfFeatures
set
Result
allocate
allocate
check
check
get
set
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedStep2MasterInput
add
check
get
getNumberOfFeatures
set
Input
check
get
getNumberOfFeatures
set
InputIface
Parameter
Parameter
Parameter
accuracyThreshold
assignFlag
distanceType
gamma
maxIterations
nClusters
PartialResult
allocate
check
check
get
getNumberOfFeatures
set
Result
allocate
allocate
check
check
get
set
linear_model
interface1
Model
getBeta
getInterceptFlag
getNumberOfBetas
getNumberOfResponses
initialize
Parameter
interceptFlag
prediction
interface1
Batch
getMethod
getResult
BatchContainer
BatchContainer
compute
Input
Input
check
get
get
set
set
Result
allocate
check
get
set
training
interface1
Batch
getResult
Input
Input
get
set
Online
getPartialResult
getResult
PartialResult
PartialResult
deserializeImpl
serializeImpl
Result
Result
check
deserializeImpl
get
serializeImpl
set
linear_regression
interface1
Model
ModelNormEq
getXTXTable
getXTYTable
ModelQR
getQTYTable
getRTable
Parameter
prediction
interface1
Batch
Batch< algorithmFPType, defaultDense >
Batch
Batch
clone
getMethod
getResult
input
Input
Input
get
get
set
set
Result
get
set
quality_metric
group_of_betas
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
check
get
set
Parameter
check
accuracyThreshold
numBeta
numBetaReducedModel
Result
allocate
check
deserializeImpl
get
getSerializationTag
serializeImpl
set
single_beta
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
check
get
get
set
set
Parameter
check
accuracyThreshold
alpha
Result
allocate
check
deserializeImpl
get
get
get
getSerializationTag
serializeImpl
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
parameter
InputDataCollection
getInput
Parameter
check
accuracyThreshold
alpha
numBeta
numBetaReducedModel
ResultCollection
getResult
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< step2Master >
add
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
Input
Input
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
InputIface
getNumberOfDependentVariables
getNumberOfFeatures
Online
Online
Online
clone
getMethod
getPartialResult
getResult
input
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
PartialResult
allocate
check
check
get
getNumberOfDependentVariables
getNumberOfFeatures
initialize
set
Result
allocate
allocate
check
check
get
set
logitboost
interface1
Model
Model
Model
getIterations
setIterations
Parameter
Parameter
Parameter
accuracyThreshold
maxIterations
nClasses
responsesDegenerateCasesThreshold
weightsDegenerateCasesThreshold
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
InputDataCollection
getInput
Parameter
nClasses
ResultCollection
getResult
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
get
low_order_moments
interface1
Batch
Batch
Batch
clone
getMethod
BatchContainer
BatchContainer
~BatchContainer
compute
BatchContainerIface
compute
BatchImpl
BatchImpl
BatchImpl
clone
getResult
setResult
input
parameter
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
add
check
get
getNumberOfColumns
set
Input
check
get
getNumberOfColumns
set
InputIface
Online
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
Parameter
Parameter
estimatesToCompute
PartialResult
allocate
check
check
get
getNumberOfColumns
initialize
set
Result
allocate
allocate
check
check
get
set
math
abs
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
logistic
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
relu
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
smoothrelu
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
check
get
set
Result
allocate
check
get
set
softmax
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
tanh
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
set
multi_class_classifier
interface1
Model
Model
Model
getMultiClassClassifierModel
getNumberOfFeatures
getNumberOfTwoClassClassifierModels
getTwoClassClassifierModel
getTwoClassClassifierModels
setTwoClassClassifierModel
Parameter
accuracyThreshold
maxIterations
ParameterBase
prediction
training
prediction
interface1
Batch
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
parameter
InputDataCollection
getInput
Parameter
nClasses
ResultCollection
getResult
training
interface1
Batch
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
check
get
multinomial_naive_bayes
interface1
Model
Model
Model
getAuxTable
getLogP
getLogTheta
getNumberOfFeatures
Parameter
Parameter
alpha
priorClassEstimates
PartialModel
PartialModel
PartialModel
getNFeatures
getNumberOfFeatures
setNFeatures
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
parameter
InputDataCollection
getInput
Parameter
nClasses
ResultCollection
getResult
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
add
check
get
set
Online
Online
Online
clone
getMethod
getPartialResult
getResult
resetResult
setResult
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
PartialResult
allocate
check
check
get
getNumberOfFeatures
initialize
Result
allocate
allocate
check
check
get
multivariate_outlier_detection
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
DefaultInit
operator()
InitIface
operator()
Input
check
get
set
Parameter
Parameter< baconDense >
alpha
initMethod
toleranceToConverge
Parameter< defaultDense >
initializationProcedure
Result
allocate
check
get
set
neural_networks
initializers
gaussian
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getParameter
getResult
setResult
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Parameter
Parameter
a
seed
sigma
interface1
InitializerContainerIface
InitializerIface
getParameter
input
Input
Input
Input
check
get
set
Parameter
engine
layer
Result
Result
allocate
check
get
set
truncated_gaussian
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getParameter
getResult
setResult
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Parameter
Parameter
a
b
mean
seed
sigma
uniform
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getParameter
getResult
setResult
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Parameter
Parameter
a
b
seed
xavier
interface1
Batch
Batch
Batch
allocateResult
clone
getMethod
getParameter
getResult
setResult
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Parameter
Parameter
seed
interface1
LearnableParametersIface
ModelImpl
ModelImpl
ModelImpl
getNextLayers
getWeightsAndBiases
setWeightsAndBiases
_forwardLayers
_nextLayers
_storeWeightsInTable
layers
abs
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
average_pooling1d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
set
interface1
Batch
Batch
parameter
Parameter
Parameter
average_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
average_pooling3d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
set
interface1
Batch
Batch
parameter
Parameter
Parameter
backward
interface1
Input
Input
addInputGradient
check
get
get
getLayout
set
set
setInputFromForward
InputIface
InputIface
LayerIface
addInput
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
LayerIfaceImpl
addInput
Result
Result
allocate
check
get
get
getGradient
getLayout
getSerializationTag
set
set
batch_normalization
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
resetCompute
setupCompute
Input
Input
Input
allocate
check
get
getBiasesSizes
getWeightsSizes
set
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
alpha
dimension
epsilon
concat
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
get
getGradient
getLayout
set
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
addData
check
eraseInputData
get
get
getLayout
set
set
Result
Result
allocate
check
get
getValueSize
getValueSize
set
interface1
Batch
Batch
parameter
Parameter
Parameter
concatDimension
convolution2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
resetCompute
setupCompute
Input
Input
Input
allocate
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
groupDimension
indices
kernelSizes
nGroups
nKernels
paddings
strides
Indices
Indices
KernelSizes
KernelSizes
Paddings
Paddings
Strides
Strides
dropout
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
interface1
Batch
Batch
parameter
Parameter
Parameter
check
engine
retainRatio
seed
eltwise_sum
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
getNumberOfCoefficients
set
set
Result
Result
allocate
check
get
getGradient
getLayout
set
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
addData
check
eraseInputData
get
get
set
set
Result
Result
allocate
check
get
get
getValueSize
getValueSize
set
set
setResultForBackward
interface1
Batch
parameter
Parameter
Parameter
elu
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
alpha
forward
interface1
AlgorithmDispatchLayerContainer
AlgorithmDispatchLayerContainer
allocateInput
compute
initializeInput
resetCompute
setupCompute
Input
Input
addData
check
eraseInputData
get
get
getBiasesSizes
getLayout
getWeightsSizes
set
set
InputIface
InputIface
LayerContainerIfaceImpl
allocateInput
initializeInput
resetCompute
setupCompute
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
addNext
index
layer
nextLayers
LayerIface
addInput
allocateInput
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
initializeInput
LayerIfaceImpl
addInput
allocateInput
getLayerForPrediction
initializeInput
Result
Result
allocate
check
get
get
getLayout
getSerializationTag
getValue
getValueCollectionSize
getValueSize
getValueSize
set
set
setResultForBackward
fullyconnected
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Input
Input
Input
allocate
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
nOutputs
interface1
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
LayerDescriptor
addNext
index
layer
nextLayers
LayerIface
backwardLayer
forwardLayer
NextLayers
NextLayers
NextLayers
NextLayers
NextLayers
NextLayers
NextLayers
NextLayers
NextLayers
add
operator[]
operator[]
push_back
size
Parameter
Parameter
allowInplaceComputation
biasesInitializer
predictionStage
propagateGradient
weightsAndBiasesInitialized
weightsInitializer
lcn
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
interface1
Batch
Batch
parameter
Parameter
Parameter
check
indices
kernel
sigmaDegenerateCasesThreshold
sumDimension
Indices
Indices
locallyconnected2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Input
Input
Input
allocate
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
check
groupDimension
indices
kernelSizes
nGroups
nKernels
paddings
strides
Indices
Indices
KernelSizes
KernelSizes
Paddings
Paddings
Strides
Strides
logistic
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
loss
backward
interface1
Batch
Batch
Batch
clone
Input
Input
Input
check
Result
Result
check
forward
interface1
Batch
Batch
Batch
clone
Input
Input
get
getBiasesSizes
getWeightsSizes
set
Result
Result
allocate
check
getValueSize
interface1
Batch
Batch
logistic_cross
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
check
softmax_cross
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerForPrediction
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
check
accuracyThreshold
dimension
lrn
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
check
alpha
beta
dimension
kappa
nAdjust
maximum_pooling1d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
maximum_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
setupCompute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
maximum_pooling3d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
pooling1d
backward
interface1
Input
Input
Input
getGradientSize
Result
Result
allocate
check
forward
interface1
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
getValueSize
interface1
Index
Index
KernelSize
KernelSize
Padding
Padding
Parameter
Parameter
index
kernelSize
padding
stride
Stride
Stride
pooling2d
backward
interface1
Input
Input
Input
getGradientSize
Result
Result
allocate
check
forward
interface1
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
getValueSize
interface1
Indices
Indices
KernelSizes
KernelSizes
Paddings
Paddings
Parameter
Parameter
indices
kernelSizes
paddings
strides
Strides
Strides
pooling3d
backward
interface1
Input
Input
Input
getGradientSize
Result
Result
allocate
check
forward
interface1
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
getValueSize
interface1
Indices
Indices
KernelSizes
KernelSizes
Paddings
Paddings
Parameter
Parameter
indices
kernelSizes
paddings
strides
Strides
Strides
prelu
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Input
Input
Input
allocate
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
check
dataDimension
weightsDimension
relu
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
reshape
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
interface1
Batch
Batch
Batch
parameter
Parameter
Parameter
smoothrelu
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
softmax
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
Parameter
dimension
spatial_average_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
set
interface1
Batch
Batch
parameter
Parameter
spatial_maximum_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
spatial_pooling2d
backward
interface1
Input
Input
Input
check
getGradientSize
Result
Result
allocate
check
forward
interface1
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
getValueSize
interface1
Indices
Indices
Parameter
Parameter
indices
pyramidHeight
spatial_stochastic_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
engine
seed
split
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
addInputGradient
check
get
get
getLayout
set
set
setInputFromForward
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
Result
Result
allocate
check
get
get
getLayout
getValue
getValueCollectionSize
getValueSize
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
nInputs
nOutputs
stochastic_pooling2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
get
set
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Result
Result
allocate
check
get
get
set
set
interface1
Batch
Batch
parameter
Parameter
Parameter
engine
seed
tanh
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
transposed_conv2d
backward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
Input
Input
check
get
set
Result
Result
allocate
check
forward
interface1
Batch
Batch
Batch
Batch
allocateResult
clone
getLayerInput
getLayerParameter
getLayerResult
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
allocateInput
compute
setupCompute
Input
Input
Input
allocate
check
getBiasesSizes
getWeightsSizes
Result
Result
allocate
check
get
getValueSize
set
setResultForBackward
interface1
Batch
Batch
parameter
Parameter
Parameter
groupDimension
indices
kernelSizes
nGroups
nKernels
paddings
strides
valueSizes
Indices
Indices
KernelSizes
KernelSizes
Paddings
Paddings
Strides
Strides
ValueSizes
ValueSizes
prediction
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Input
check
get
get
set
set
Model
Model
Model
Model
Model
Model
~Model
Model
allocate
getLayer
getLayers
setLayers
Parameter
Parameter
batchSize
Result
add
allocate
check
get
get
get
set
set
Topology
Topology
Topology
Topology
add
add
addNext
clear
get
get
operator[]
operator[]
push_back
size
training
interface1
Batch
Batch
Batch
clone
getMethod
getResult
initialize
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
resetCompute
setupCompute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, method >
Distributed
clone
getMethod
getPartialResult
getResult
initialize
setPartialResult
input
parameter
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
resetCompute
setupCompute
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
resetCompute
setupCompute
DistributedInput
DistributedInput< step1Local >
check
get
set
DistributedInput< step2Master >
add
check
get
set
DistributedPartialResult
allocate
check
get
set
Input
add
check
get
get
get
set
set
Model
Model
Model
~Model
Model
allocate
getBackwardLayer
getBackwardLayers
getErrors
getForwardLayer
getForwardLayers
getPredictionModel
getSolverOptionalArgument
getSolverOptionalArgumentCollection
getWeightsAndBiases
getWeightsAndBiasesDerivatives
getWeightsAndBiasesDerivatives
getWeightsAndBiasesStorageStatus
initialize
setErrors
setSolverOptionalArgument
setSolverOptionalArgumentCollection
setWeightsAndBiases
Parameter
Parameter
engine
optimizationSolver
PartialResult
allocate
check
get
set
Result
allocate
check
get
set
Topology
Topology
Topology
add
add
addNext
clear
get
get
operator[]
operator[]
push_back
size
normalization
minmax
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
compute
Input
Input
Input
check
get
set
Parameter
Parameter
Parameter
ParameterBase
ParameterBase
check
lowerBound
moments
upperBound
Result
allocate
check
get
set
zscore
interface1
Input
Input
Input
check
get
set
interface2
BaseParameter
resultsToCompute
Batch
Batch
Batch
clone
getMethod
getParameter
BatchContainer
BatchContainer
~BatchContainer
compute
BatchImpl
BatchImpl
BatchImpl
clone
getParameter
getResult
setResult
input
Parameter
Parameter< algorithmFPType, defaultDense >
Parameter
check
moments
Parameter< algorithmFPType, sumDense >
Result
allocate
allocate
check
get
set
optimization_solver
adagrad
interface1
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
Parameter
check
batchIndices
degenerateCasesThreshold
engine
learningRate
seed
Result
allocate
check
get
set
interface1
BatchIface
iterative_solver
interface1
Batch
Batch
clone
createResult
getInput
getParameter
getResult
Input
check
get
get
get
set
set
set
Parameter
Parameter
Parameter
check
accuracyThreshold
batchSize
function
nIterations
optionalResultRequired
Result
allocate
check
get
get
get
set
set
set
lbfgs
interface1
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
Parameter
check
correctionPairBatchIndices
correctionPairBatchSize
engine
L
m
seed
stepLengthSequence
Result
allocate
check
get
set
mse
interface1
Batch
Batch
~Batch
Batch
allocate
clone
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
~Input
check
get
set
Parameter
Parameter
Parameter
check
objective_function
interface1
Batch
Batch
Batch
~Batch
clone
getResult
setResult
Input
Input
Input
~Input
check
get
set
Parameter
Parameter
Parameter
resultsToCompute
Result
Result
~Result
allocate
check
get
set
precomputed
interface1
Batch
Batch
~Batch
Batch
allocate
clone
getMethod
input
parameter
BatchContainer
BatchContainer
compute
sgd
interface1
BaseParameter
BaseParameter
check
batchIndices
engine
learningRateSequence
seed
Batch
Batch
Batch
clone
createResult
getInput
getMethod
getParameter
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
Parameter< defaultDense >
Parameter
check
Parameter< miniBatch >
Parameter
check
conservativeSequence
Parameter< momentum >
Parameter
check
momentum
Result
allocate
check
get
set
sum_of_functions
interface1
Batch
Batch
Batch
~Batch
clone
sumOfFunctionsInput
sumOfFunctionsParameter
Input
Input
Input
~Input
check
get
set
Parameter
Parameter
Parameter
check
batchIndices
numberOfTerms
pca
interface1
BaseParameter
BaseParameter
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, correlationDense >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Distributed< step2Master, algorithmFPType, svdDense >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, correlationDense, cpu >
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, svdDense, cpu >
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, correlationDense, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step2Master, algorithmFPType, svdDense, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< correlationDense >
add
check
get
getNFeatures
getPartialResult
set
DistributedInput< svdDense >
add
check
get
getNFeatures
getPartialResult
set
DistributedParameter
DistributedParameter< step2Master, algorithmFPType, correlationDense >
DistributedParameter
check
covariance
Input
check
get
getNFeatures
set
set
InputIface
getNFeatures
isCorrelation
Online
Online< algorithmFPType, correlationDense >
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
Online< algorithmFPType, svdDense >
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
OnlineContainer
OnlineContainer< algorithmFPType, correlationDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineContainer< algorithmFPType, svdDense, cpu >
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlineParameter
OnlineParameter< algorithmFPType, correlationDense >
OnlineParameter
check
covariance
OnlineParameter< algorithmFPType, svdDense >
OnlineParameter
check
PartialResult
PartialResult< daal::algorithms::pca::correlationDense >
allocate
check
check
get
initialize
set
PartialResult< daal::algorithms::pca::svdDense >
add
allocate
check
check
get
get
get
initialize
set
set
PartialResultBase
interface2
BaseBatchParameter
BaseBatchParameter
isDeterministic
nComponents
resultsToCompute
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer< algorithmFPType, correlationDense, cpu >
BatchContainer
~BatchContainer
compute
BatchContainer< algorithmFPType, svdDense, cpu >
BatchContainer
~BatchContainer
compute
BatchParameter
BatchParameter< algorithmFPType, correlationDense >
BatchParameter
check
covariance
BatchParameter< algorithmFPType, svdDense >
BatchParameter
check
normalization
Result
allocate
allocate
check
check
checkImpl
get
get
set
set
quality_metric
explained_variance
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setInput
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
check
get
set
Parameter
check
nComponents
nFeatures
Result
allocate
check
get
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
parameter
InputDataCollection
getInput
Parameter
check
nComponents
nFeatures
ResultCollection
getResult
transform
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
~Input
check
get
get
get
set
set
set
Parameter
Parameter
nComponents
Result
Result
~Result
allocate
check
get
set
pivoted_qr
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
Input
Input
~Input
check
get
set
Parameter
permutedColumns
Result
Result
~Result
allocate
check
get
set
qr
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedPartialResult
DistributedPartialResult
~DistributedPartialResult
allocate
check
check
get
get
set
set
setPartialResultStorage
DistributedPartialResultStep3
DistributedPartialResultStep3
~DistributedPartialResultStep3
allocate
check
check
get
set
setPartialResultStorage
DistributedStep2Input
DistributedStep2Input
DistributedStep2Input
add
check
get
getNBlocks
getNumberOfColumns
set
DistributedStep3Input
DistributedStep3Input
DistributedStep3Input
check
get
set
Input
Input
Input
~Input
check
get
set
Online
Online
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlinePartialResult
OnlinePartialResult
~OnlinePartialResult
addPartialResultStorage
allocate
check
check
get
getNumberOfColumns
getNumberOfRows
initialize
set
Parameter
Parameter
Result
Result
~Result
allocate
allocate
allocateImpl
check
check
get
set
quality_metric
interface1
Batch
getResult
setInput
quality_metric_set
interface1
Batch
compute
computeNoThrow
getErrors
getInputDataCollection
getResultCollection
_inputData
inputAlgorithms
InputAlgorithmsCollection
InputAlgorithmsCollection
clear
getKeyByIndex
operator[]
operator[]
size
InputDataCollection
add
getInput
ResultCollection
quantiles
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Parameter
quantileOrders
Result
allocate
check
get
set
regression
interface1
Model
getNumberOfFeatures
TreeNodeVisitor
onLeafNode
onSplitNode
prediction
interface1
Batch
getResult
setResult
Input
Input
check
get
get
set
set
Result
check
get
set
training
interface1
Batch
getInput
getResult
setResult
Input
Input
check
get
set
Online
getPartialResult
getResult
setPartialResult
setResult
PartialResult
PartialResult
Result
Result
check
get
set
ridge_regression
interface1
Model
ModelNormEq
getXTXTable
getXTYTable
Parameter
TrainParameter
ridgeParameters
prediction
interface1
Batch
Batch< algorithmFPType, defaultDense >
Batch
Batch
clone
getMethod
getResult
input
Input
Input
Input
get
get
set
set
Result
get
set
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
Distributed
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedInput
DistributedInput< step2Master >
add
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
Input
Input
check
get
getNumberOfDependentVariables
getNumberOfFeatures
set
InputIface
getNumberOfDependentVariables
getNumberOfFeatures
Online
Online
Online
clone
getMethod
getPartialResult
getResult
input
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
PartialResult
allocate
check
check
get
getNumberOfDependentVariables
getNumberOfFeatures
initialize
set
Result
allocate
allocate
check
check
get
set
sorting
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
set
Result
allocate
check
get
set
stump
interface1
Model
Model
Model
getLeftSubsetAverage
getNumberOfFeatures
getRightSubsetAverage
getSplitFeature
getSplitValue
setLeftSubsetAverage
setRightSubsetAverage
setSplitFeature
setSplitValue
_nFeatures
_splitFeature
_values
prediction
interface1
Batch
Batch
clone
getInput
getMethod
input
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
training
interface1
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
check
get
set
svd
interface1
Batch
Batch
clone
getMethod
getResult
setResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Distributed
Distributed< step1Local, algorithmFPType, method >
Distributed
clone
Distributed< step2Master, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
input
parameter
Distributed< step3Local, algorithmFPType, method >
Distributed
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
DistributedContainer
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer
~DistributedContainer
compute
finalizeCompute
DistributedPartialResult
DistributedPartialResult
~DistributedPartialResult
allocate
check
check
get
get
get
set
set
setPartialResultStorage
DistributedPartialResultStep3
DistributedPartialResultStep3
~DistributedPartialResultStep3
allocate
check
check
get
set
setPartialResultStorage
DistributedStep2Input
DistributedStep2Input
DistributedStep2Input
add
check
get
getNumberOfColumns
set
DistributedStep3Input
DistributedStep3Input
DistributedStep3Input
check
get
set
Input
Input
Input
~Input
check
get
set
Online
Online
checkFinalizeComputeParams
clone
getMethod
getPartialResult
getResult
setPartialResult
setResult
input
parameter
OnlineContainer
OnlineContainer
~OnlineContainer
compute
finalizeCompute
OnlinePartialResult
OnlinePartialResult
~OnlinePartialResult
addPartialResultStorage
allocate
check
check
get
initialize
set
Parameter
Parameter
leftSingularMatrix
rightSingularMatrix
Result
Result
~Result
allocate
allocate
allocateImpl
check
check
get
set
svm
interface1
Model
Model
Model
getBias
getClassificationCoefficients
getNumberOfFeatures
getSupportIndices
getSupportVectors
setBias
Parameter
accuracyThreshold
C
cacheSize
doShrinking
kernel
maxIterations
shrinkingStep
tau
prediction
interface1
Batch
Batch
Batch
clone
getInput
getMethod
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Input
check
get
get
set
set
quality_metric_set
interface1
Batch
Batch
getInputDataCollection
getResultCollection
InputDataCollection
getInput
ResultCollection
getResult
training
interface1
Batch
Batch
Batch
clone
getInput
getMethod
getResult
resetResult
input
parameter
BatchContainer
BatchContainer
~BatchContainer
compute
Result
allocate
check
get
univariate_outlier_detection
interface1
Batch
Batch
Batch
clone
getMethod
getResult
setResult
input
BatchContainer
BatchContainer
~BatchContainer
compute
DefaultInit
operator()
InitIface
operator()
Input
check
get
set
Parameter
check
initializationProcedure
Result
allocate
check
get
set
weak_learner
interface1
Model
Parameter
prediction
interface1
Batch
Batch
clone
training
interface1
Batch
Batch
clone
getResult
Result
get
set
Analysis
AnalysisContainerIface
DistributedPrediction
DistributedPredictionContainerIface
Prediction
PredictionContainerIface
Training
TrainingContainerIface
data_management
interface1
AbstractCreator
AbstractCreator
create
getTag
AOSNumericTable
AOSNumericTable
AOSNumericTable
AOSNumericTable
getArray
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setFeature
setOffset
BlockDescriptor
freeBuffer
getAdditionalBufferPtr
getBlockPtr
getBlockSharedPtr
getColumnsOffset
getNumberOfColumns
getNumberOfRows
getRowsOffset
getRWFlag
reset
resizeBuffer
setDetails
setPtr
setPtr
Bzip2CompressionParameter
Bzip2CompressionParameter
CategoricalFeatureDictionary
CompressedDataArchive
CompressedDataArchive
copyArchiveToArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getErrors
getSizeOfArchive
read
write
Compression
Compression
checkInputParams
checkOutputParams
getUsedOutputDataBlockSize
isOutputDataBlockFull
run
run
setInputDataBlock
setInputDataBlock
CompressionIface
getUsedOutputDataBlockSize
isOutputDataBlockFull
run
run
setInputDataBlock
setInputDataBlock
CompressionParameter
CompressionParameter
level
CompressionStream
CompressionStream
copyCompressedArray
copyCompressedArray
getCompressedBlocksCollection
getCompressedDataSize
operator<<
operator<<
push_back
Compressor
Compressor
Compressor< bzip2 >
Compressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Compressor< lzo >
Compressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Compressor< rle >
Compressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Compressor< zlib >
Compressor
run
run
setInputDataBlock
setInputDataBlock
parameter
CompressorImpl
CompressorImpl
Creator
Creator
create
getTag
CSRBlockDescriptor
freeRowsBuffer
freeValuesBuffer
getBlockValuesPtr
getBlockValuesSharedPtr
getDataSize
getNumberOfColumns
getNumberOfRows
reset
resizeRowsBuffer
resizeValuesBuffer
setRowIndicesPtr
setRowIndicesPtr
CSRNumericTable
CSRNumericTable
CSRNumericTable
CSRNumericTable
allocateDataMemory
check
getArrays
getArrays
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getCSRIndexing
getDataSize
getSparseBlock
getSparseBlock
getSparseBlock
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
releaseSparseBlock
releaseSparseBlock
releaseSparseBlock
resize
setArrays
setArrays
CSRNumericTableIface
CSRIndexing
zeroBased
oneBased
getDataSize
getSparseBlock
getSparseBlock
getSparseBlock
releaseSparseBlock
releaseSparseBlock
releaseSparseBlock
CsvDataSource
FeatureManager
CsvDataSource
createDictionaryFromContext
getFeatureManager
getNumberOfAvailableRows
getNumericTableNumberOfColumns
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
setDictionary
CSVFeatureManager
CSVFeatureManager
parseRowAsDictionary
parseRowIn
setDelimiter
DataArchive
DataArchive
DataArchive
DataArchive
copyArchiveToArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getErrors
getSizeOfArchive
read
write
DataArchiveIface
copyArchiveToArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getMajorVersion
getMinorVersion
getSizeOfArchive
getUpdateVersion
read
setMajorVersion
setMinorVersion
setUpdateVersion
write
DataArchiveImpl
getMajorVersion
getMinorVersion
getUpdateVersion
setMajorVersion
setMinorVersion
setUpdateVersion
DataBlock
DataBlock
DataBlock
DataBlock
DataBlock
DataBlock
getPtr
getSharedPtr
getSize
setPtr
setPtr
setSize
DataBlockIface
getPtr
getSharedPtr
getSize
setPtr
setPtr
setSize
DataCollection
DataCollection
DataCollection
DataCollection
clear
deserializeImpl
erase
get
get
operator<<
operator[]
operator[]
push_back
resize
serializeImpl
size
DataSource
allocateNumericTableImpl
allocateNumericTableImpl
checkDictionary
checkNumericTable
createDictionaryFromContext
getDictionary
getDictionarySharedPtr
getErrors
getNumberOfColumns
getNumericTable
getNumericTableNumberOfColumns
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
setDictionary
status
DataSourceFeature
DataSourceFeature
getCategoricalDictionary
getSerializationTag
operator=
setFeatureName
setType
DataSourceIface
DataSourceStatus
readyForLoad
waitingForRows
endOfData
notReady
DictionaryCreationFlag
notDictionaryFromContext
doDictionaryFromContext
NumericTableAllocationFlag
notAllocateNumericTable
doAllocateNumericTable
allocateNumericTable
createDictionaryFromContext
freeNumericTable
getDictionary
getDictionarySharedPtr
getNumberOfAvailableRows
getNumberOfColumns
getNumericTable
getNumericTableNumberOfColumns
getStatus
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
setDictionary
DataSourceTemplate
allocateNumericTable
freeNumericTable
DecompressedDataArchive
DecompressedDataArchive
copyArchiveToArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getErrors
getSizeOfArchive
read
write
DecompressionStream
DecompressionStream
copyDecompressedArray
copyDecompressedArray
getDecompressedBlocksCollection
getDecompressedDataSize
operator<<
operator<<
push_back
Decompressor
Decompressor
Decompressor< bzip2 >
Decompressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Decompressor< lzo >
Decompressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Decompressor< rle >
Decompressor
run
run
setInputDataBlock
setInputDataBlock
parameter
Decompressor< zlib >
Decompressor
run
run
setInputDataBlock
setInputDataBlock
parameter
DecompressorImpl
DecompressorImpl
DenseNumericTableIface
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
DenseTensorIface
getSubtensor
getSubtensor
getSubtensor
getSubtensorEx
getSubtensorEx
getSubtensorEx
releaseSubtensor
releaseSubtensor
releaseSubtensor
Dictionary
Dictionary
Dictionary
getErrors
getFeaturesEqual
getNumberOfFeatures
getSerializationTag
operator[]
resetDictionary
setAllFeatures
setAllFeatures
setFeature
setFeature
setNumberOfFeatures
Factory
createObject
registerObject
FileDataSource
FeatureManager
FileDataSource
createDictionaryFromContext
getStatus
HomogenNumericTable
baseDataType
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
HomogenNumericTable
assign
assign
assign
assign
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
operator[]
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setArray
setArray
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
HomogenTensor
assign
createDefaultSubtensorLayout
createRawSubtensorLayout
getArray
getArraySharedPtr
getSampleTensor
getSubtensor
getSubtensor
getSubtensor
getSubtensorEx
getSubtensorEx
getSubtensorEx
getTensorLayout
releaseSubtensor
releaseSubtensor
releaseSubtensor
setArray
setArray
setDimensions
setDimensions
InputDataArchive
InputDataArchive
InputDataArchive
InputDataArchive
archiveFooter
archiveHeader
copyArchiveToArray
getArchiveAsArray
getArchiveAsArray
getArchiveAsArraySharedPtr
getArchiveAsString
getDataArchive
getErrors
getSizeOfArchive
segmentFooter
segmentHeader
set
set
set
setObj
setSharedPtrObj
setSingleObj
KDBDataSource
DataSourceStatus
DictionaryCreationFlag
NumericTableAllocationFlag
KDBDataSource
createDictionaryFromContext
getNumberOfAvailableRows
getStatus
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
KDBFeatureManager
createDictionaryFromList
createDictionaryFromTable
KeyValueCollection
KeyValueCollection
KeyValueCollection
clear
getKeyByIndex
getValueByIndex
getValueByIndex
operator[]
operator[]
size
LzoCompressionParameter
LzoCompressionParameter
postHeadBytes
preHeadBytes
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
Matrix
MemoryBlock
MemoryBlock
MemoryBlock
deserializeImpl
get
get
release
reserve
serializeImpl
size
MergedNumericTable
MergedNumericTable
MergedNumericTable
MergedNumericTable
addNumericTable
allocateBasicStatistics
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getDataMemoryStatus
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
resize
MySQLFeatureManager
createDictionary
setLimitQuery
statementResultsNumericTable
NumericTable
NumericTable
NumericTable
NumericTable
allocateBasicStatistics
allocateDataMemory
assign
assign
assign
check
freeDataMemory
getDataLayout
getDataMemoryStatus
getDictionary
getDictionarySharedPtr
getErrors
getFeatureType
getNumberOfCategories
getNumberOfColumns
getNumberOfRows
getValue
getValue
isNormalized
resetDictionary
resize
setDictionary
setNormalizationFlag
setNumberOfColumns
setNumberOfRows
_ddict
NumericTableFeature
NumericTableFeature
getSerializationTag
operator=
setType
NumericTableIface
AllocationFlag
doNotAllocate
notAllocate
doAllocate
BasicStatisticsId
minimum
maximum
sum
sumSquares
FeatureBasicStatistics
counters
MemoryStatus
notAllocated
userAllocated
internallyAllocated
NormalizationType
nonNormalized
standardScoreNormalized
minMaxNormalized
StorageLayout
allocateBasicStatistics
allocateDataMemory
check
freeDataMemory
getDataLayout
getDictionary
getDictionarySharedPtr
getFeatureType
getNumberOfCategories
resetDictionary
resize
setDictionary
setNumberOfColumns
setNumberOfRows
ODBCDataSource
DataSourceStatus
DictionaryCreationFlag
NumericTableAllocationFlag
ODBCDataSource
createDictionaryFromContext
freeHandles
getNumberOfAvailableRows
getStatus
loadDataBlock
loadDataBlock
loadDataBlock
loadDataBlock
OutputDataArchive
OutputDataArchive
OutputDataArchive
OutputDataArchive
OutputDataArchive
archiveFooter
archiveHeader
getAsSharedPtr
getErrors
getMajorVersion
getMinorVersion
getUpdateVersion
segmentFooter
segmentHeader
set
set
set
setObj
setSharedPtrObj
setSingleObj
PackedArrayNumericTableIface
getPackedArray
getPackedArray
getPackedArray
releasePackedArray
releasePackedArray
releasePackedArray
PackedSymmetricMatrix
baseDataType
PackedSymmetricMatrix
PackedSymmetricMatrix
PackedSymmetricMatrix
PackedSymmetricMatrix
PackedSymmetricMatrix
PackedSymmetricMatrix
assign
assign
assign
assign
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getPackedArray
getPackedArray
getPackedArray
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
releasePackedArray
releasePackedArray
releasePackedArray
setArray
setArray
PackedTriangularMatrix
baseDataType
PackedTriangularMatrix
PackedTriangularMatrix
PackedTriangularMatrix
PackedTriangularMatrix
PackedTriangularMatrix
PackedTriangularMatrix
assign
assign
assign
assign
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getPackedArray
getPackedArray
getPackedArray
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
releasePackedArray
releasePackedArray
releasePackedArray
setArray
setArray
setNumberOfColumns
setNumberOfRows
RleCompressionParameter
RleCompressionParameter
isBlockHeader
RowMergedNumericTable
RowMergedNumericTable
RowMergedNumericTable
addNumericTable
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
getDataMemoryStatus
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
resize
SerializableKeyValueCollection
SerializableKeyValueCollection
SerializableKeyValueCollection
SerializationIface
deserialize
deserializeImpl
getSerializationTag
serialize
serializeImpl
SOANumericTable
SOANumericTable
SOANumericTable
SOANumericTable
getArray
getArraySharedPtr
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfColumnValues
getBlockOfRows
getBlockOfRows
getBlockOfRows
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfColumnValues
releaseBlockOfRows
releaseBlockOfRows
releaseBlockOfRows
setArray
setArray
setDictionary
StringDataSource
FeatureManager
StringDataSource
createDictionaryFromContext
getData
getStatus
resetData
setData
StringRowFeatureManagerIface
parseRowAsDictionary
parseRowIn
SubtensorDescriptor
SubtensorDescriptor
freeBuffer
getFixedDimNums
getFixedDims
getInplaceFlag
getLayout
getNumberOfDims
getPtr
getRangeDimIdx
getRangeDimNum
getRWFlag
getSharedPtr
getSize
getSubtensorDimSizes
reset
resizeBuffer
saveOffsetLayout
saveOffsetLayoutCopy
setDetails
setPtr
Tensor
Tensor
Tensor
allocateDataMemory
check
freeDataMemory
getDataMemoryStatus
getDimensions
getDimensionSize
getErrors
getNumberOfDimensions
getSize
getSize
TensorIface
AllocationFlag
doNotAllocate
notAllocate
doAllocate
MemoryStatus
notAllocated
userAllocated
internallyAllocated
allocateDataMemory
check
freeDataMemory
getSampleTensor
setDimensions
setDimensions
TensorLayout
getDimensions
TensorLayoutIface
shuffleDimensions
TensorOffsetLayout
TensorOffsetLayout
TensorOffsetLayout
getIndices
getOffsets
getSerializationTag
isLayout
shuffleDimensions
ZlibCompressionParameter
ZlibCompressionParameter
gzHeader
ColumnFilter
FeatureAuxData
MakeCategorical
ModifierIface
OneHotEncoder
services
interface1
Atomic
Atomic
Atomic
~Atomic
dec
get
inc
set
Collection
Collection
Collection
Collection
Collection
~Collection
capacity
clear
erase
get
get
insert
insert
operator<<
operator[]
operator[]
push_back
resize
size
DeleterIface
~DeleterIface
operator()
EmptyDeleter
operator()
Environment
env
CpuTypeEnable
cpu_default
avx512_mic
avx512
avx512_mic_e1
LibraryThreadingType
MultiThreaded
SingleThreaded
enableInstructionsSet
enableThreadPinning
getCpuId
getNumberOfThreads
setCpuId
setDynamicLibraryThreadingTypeOnWindows
setMemoryLimit
setNumberOfThreads
Error
Error
Error
~Error
addDetail
addDoubleDetail
addIntDetail
addStringDetail
description
details
id
setId
ErrorCollection
ErrorCollection
ErrorCollection
ErrorCollection
~ErrorCollection
add
add
add
add
canThrow
getDescription
getErrors
isEmpty
setCanThrow
size
ErrorDetail
ErrorDetail
~ErrorDetail
addNext
clone
describe
id
next
next
Exception
Exception
~Exception
what
HostAppIface
isCancelled
KernelErrorCollection
KernelErrorCollection
KernelErrorCollection
~KernelErrorCollection
add
add
add
add
at
at
getDescription
isEmpty
operator[]
operator[]
size
LibraryVersionInfo
build
build_rev
majorVersion
minorVersion
name
processor
productStatus
updateVersion
ObjectDeleter
operator()
RefCounter
RefCounter
~RefCounter
RefCounterImp
RefCounterImp
~RefCounterImp
ServiceDeleter
operator()
SharedPtr
SharedPtr
SharedPtr
SharedPtr
SharedPtr
SharedPtr
~SharedPtr
_remove
get
getStartPtr
operator bool
operator*
operator->
operator=
operator=
reset
reset
reset
useCount
Status
Status
Status
Status
Status
~Status
Status
Status
add
add
add
clear
getCollection
getDescription
ok
operator bool
operator=
operator|=
String
String
String
~String
add
c_str
get
length
operator+
operator[]
Base
IsSameType
IsSameType< U, U >
Class Hierarchy
Environment::_envStruct
AbstractCreator
Creator< Derived >
AlgorithmContainerIface
AlgorithmContainerIfaceImpl
AlgorithmContainer< mode >
AlgorithmContainerImpl< batch >
AlgorithmContainerImpl< distributed >
AlgorithmContainerImpl< mode >
AnalysisContainerIface< batch >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainerIface
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, fastCSR, cpu >
BatchContainer< algorithmFPType, singlePassCSR, cpu >
BatchContainer< algorithmFPType, singlePassDense, cpu >
BatchContainer< algorithmFPType, sumCSR, cpu >
BatchContainer< algorithmFPType, sumDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainerIface
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
InitializerContainerIface
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
LayerContainerIfaceImpl
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
AlgorithmDispatchLayerContainer< mode, DAAL_KERNEL_AVX512_mic_ONLY >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, defaultDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, correlationDense, cpu >
BatchContainer< algorithmFPType, svdDense, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
AnalysisContainerIface< distributed >
DistributedContainerIface< step2Master >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step3Master, algorithmFPType, method, cpu >
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer< step5Master, algorithmFPType, method, cpu >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, correlationDense, cpu >
DistributedContainer< step2Master, algorithmFPType, svdDense, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step3Local, algorithmFPType, method, cpu >
AnalysisContainerIface< online >
OnlineContainerIface
OnlineContainer< algorithmFPType, defaultDense, cpu >
OnlineContainer< algorithmFPType, fastCSR, cpu >
OnlineContainer< algorithmFPType, singlePassCSR, cpu >
OnlineContainer< algorithmFPType, singlePassDense, cpu >
OnlineContainer< algorithmFPType, sumCSR, cpu >
OnlineContainer< algorithmFPType, sumDense, cpu >
OnlineContainer< algorithmFPType, method, cpu >
OnlineContainer< algorithmFPType, method, cpu >
OnlineContainer< algorithmFPType, correlationDense, cpu >
DistributedContainer< step1Local, algorithmFPType, correlationDense, cpu >
OnlineContainer< algorithmFPType, svdDense, cpu >
DistributedContainer< step1Local, algorithmFPType, svdDense, cpu >
OnlineContainer< algorithmFPType, method, cpu >
OnlineContainer< algorithmFPType, method, cpu >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
AnalysisContainerIface< mode >
DistributedPredictionContainerIface
DistributedContainer< step1Local, algorithmFPType, method, cpu >
AlgorithmDispatchContainer< mode, DAAL_KERNEL_AVX512_mic_ONLY >
PredictionContainerIface
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, pmethod, tmethod, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
TrainingContainerIface< mode >
TrainingContainerIface< batch >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
BatchContainer< algorithmFPType, method, cpu >
TrainingContainerIface< distributed >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer< step2Local, algorithmFPType, method, cpu >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step3Local, algorithmFPType, method, cpu >
DistributedContainer< step4Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step1Local, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
DistributedContainer< step2Master, algorithmFPType, method, cpu >
TrainingContainerIface< online >
OnlineContainer< algorithmFPType, method, cpu >
OnlineContainer< algorithmFPType, method, cpu >
OnlineContainer< algorithmFPType, method, cpu >
AlgorithmContainer< batch >
AlgorithmContainerImpl< batch >
AlgorithmDispatchContainer< batch, sse2Container DAAL_KERNEL_AVX512_mic_ONLY(avx512_micContainer) >
AlgorithmIface
AlgorithmIfaceImpl
Algorithm< mode >
AlgorithmImpl< batch >
AlgorithmImpl< distributed >
AlgorithmImpl< mode >
Analysis< batch >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
BatchImpl
Batch< algorithmFPType, method >
BatchBase
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
BatchBase
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
KernelIface
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
BatchImpl
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
InitializerIface
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
LayerIface
LayerIfaceImpl
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
LayerIface
LayerIfaceImpl
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
BatchImpl
Batch< algorithmFPType, method >
BatchIface
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Analysis< distributed >
DistributedIface< step >
Distributed< step, algorithmFPType, method >
DistributedIface< step2Master >
Distributed< step2Master, algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Distributed< step2Local, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step3Master, algorithmFPType, method >
Distributed< step4Local, algorithmFPType, method >
Distributed< step5Master, algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< computeStep, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, correlationDense >
Distributed< step2Master, algorithmFPType, svdDense >
Distributed< step, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step3Local, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step3Local, algorithmFPType, method >
Analysis< online >
OnlineImpl
DistributedIface< step1Local >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online< algorithmFPType, correlationDense >
Online< algorithmFPType, svdDense >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Analysis< mode >
DistributedPrediction
Distributed< step, algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Prediction
Batch
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, pmethod, tmethod >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, linear_model::prediction::defaultDense >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, defaultDense >
Batch< algorithmFPType, defaultDense >
Training< mode >
Training< batch >
Batch
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Training< distributed >
Distributed< step1Local, algorithmFPType, method >
Distributed< step2Local, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step3Local, algorithmFPType, method >
Distributed< step4Local, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step2Master, algorithmFPType, method >
Training< online >
Online
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online
Online
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Online< algorithmFPType, method >
Distributed< step1Local, algorithmFPType, method >
Algorithm< batch >
AlgorithmImpl< batch >
Argument
Input
Input
Input
Input
InputIface
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
InputIface
Input
Input
DistributedInput
Input
Input
InputIface
DistributedInput< step2Master >
Input
DistributedInput< step1Local >
Input
Input
Input
Input
InputIface
DistributedInput< step1Local >
Input
DistributedInput< step2Local >
Input
DistributedInput< step1Local >
DistributedInput< step1Local >
DistributedInput< step2Master >
DistributedInput< step3Local >
DistributedInput< step4Local >
Input
Input
Input
Input
DistributedStep3MasterPlusPlusInput
DistributedStep5MasterPlusPlusInput
InputIface
DistributedStep2MasterInput
Input
DistributedStep2LocalPlusPlusInput
DistributedStep4LocalPlusPlusInput
InputIface
DistributedStep2MasterInput
Input
Input
Input
DistributedInput< step2Master >
InputIface
DistributedInput< step >
Input
DistributedInput< step2Master >
Input
Input
Input
Input
Input
Input
Input
Input
InputIface
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
InputIface
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
DistributedInput< step2Master >
Input
DistributedInput< step1Local >
Input
Input
Input
Input
Input
Input
Input
Input
Input
InputIface
DistributedInput< correlationDense >
DistributedInput< svdDense >
Input
Input
Input
Input
DistributedStep2Input
DistributedStep3Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
Input
DistributedInput< step2Master >
Input
DistributedStep2Input
DistributedStep3Input
Input
Input
SerializableArgument
OptionalArgument
PartialResult
PartialResult
PartialResult
PartialResult
PartialResult
PartialResultBase
DistributedPartialResultStep2
PartialResult
DistributedPartialResultStep1
DistributedPartialResultStep2
DistributedPartialResultStep3
DistributedPartialResultStep4
DistributedStep2LocalPlusPlusPartialResult
DistributedStep3MasterPlusPlusPartialResult
DistributedStep4LocalPlusPlusPartialResult
DistributedStep5MasterPlusPlusPartialResult
PartialResult
PartialResult
PartialResult
DistributedPartialResult
PartialResult
PartialResultBase
PartialResult< method >
PartialResult< daal::algorithms::pca::correlationDense >
PartialResult< daal::algorithms::pca::svdDense >
PartialResult< correlationDense >
PartialResult< svdDense >
DistributedPartialResult
DistributedPartialResultStep3
OnlinePartialResult
PartialResult
PartialResult
PartialResult
PartialResult
DistributedPartialResult
DistributedPartialResultStep3
OnlinePartialResult
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
Result
NumericTable::BasicStatisticsDataCollection
Atomic< dataType >
RefCounter
RefCounterImp< Deleter >
Base
LayerIface
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
Topology
Topology
CompressionStream
DataArchiveIface
DataArchiveImpl
CompressedDataArchive
DataArchive
DecompressedDataArchive
DataBlockIface
DataBlock
DecompressionStream
InputDataArchive
OutputDataArchive
SerializationIface
Model
Model
Model
Model
Model
Model
Model
Model
Model
Model
Model
Model
PartialModel
Model
Model
Model
Model
PartialModel
ModelImpl
Model
Model
Model
Model
Model
Model
Model
Model
ModelNormEq
ModelQR
Model
ModelNormEq
SerializableArgument
LearnableParametersIface
DataCollection
DataSourceFeature
Dictionary< Feature, SerializationTag >
MemoryBlock
NumericTable
AOSNumericTable
CSRNumericTable
HomogenNumericTable< DataType >
Matrix< DataType >
MergedNumericTable
PackedSymmetricMatrix< packedLayout, DataType >
PackedTriangularMatrix< packedLayout, DataType >
RowMergedNumericTable
SOANumericTable
HomogenNumericTable< double >
Matrix< double >
NumericTableFeature
SerializableKeyValueCollection< T >
Tensor
HomogenTensor< DataType >
TensorLayout
TensorOffsetLayout
Environment
HostAppIface
LibraryVersionInfo
String
Batch
Batch
Batch
Batch
Batch
Batch
Batch
Batch
Batch
Batch< algorithmFPType, method >
Batch< algorithmFPType, method >
BatchContainer< algorithmFPType, method, cpu >
BatchParameter< algorithmFPType, method >
BlockDescriptor< DataType >
BlockDescriptor< DAAL_DATA_TYPE >
Collection< T >
DataCollection
Collection< daal::algorithms::neural_networks::layers::interface1::LayerDescriptor >
Collection< daal::algorithms::neural_networks::layers::interface1::NextLayers >
Collection< daal::data_management::FeatureAuxData >
Collection< daal::services::interface1::SharedPtr< byte > >
Collection< daal::services::interface1::SharedPtr< daal::algorithms::quality_metric::interface1::Batch > >
Collection< daal::services::interface1::SharedPtr< T > >
Collection< functionT >
Collection< layers::forward::LayerDescriptor >
Collection< SerializationIfacePtr >
Collection< SharedPtr< Error > >
KernelErrorCollection
Collection< size_t >
CompressionIface
Compression
CompressorImpl
Compressor< dcmethod >
Compressor< bzip2 >
Compressor< lzo >
Compressor< rle >
Compressor< zlib >
DecompressorImpl
Decompressor< dcmethod >
Decompressor< bzip2 >
Decompressor< lzo >
Decompressor< rle >
Decompressor< zlib >
CompressionParameter
Bzip2CompressionParameter
LzoCompressionParameter
RleCompressionParameter
ZlibCompressionParameter
CSRBlockDescriptor< DataType >
CSRNumericTableIface
CSRNumericTable
DataSourceIface
DataSource
DataSourceTemplate< _numericTableType, _summaryStatisticsType >
DataSourceTemplate< data_management::HomogenNumericTable< DAAL_DATA_TYPE >, _summaryStatisticsType >
CsvDataSource< _featureManager, _summaryStatisticsType >
FileDataSource< _featureManager, _summaryStatisticsType >
StringDataSource< _featureManager, _summaryStatisticsType >
DataSourceTemplate< data_management::HomogenNumericTable< DAAL_DATA_TYPE >, summaryStatisticsType >
KDBDataSource< _featureManager, summaryStatisticsType >
ODBCDataSource< _featureManager, summaryStatisticsType >
DeleterIface
EmptyDeleter
ObjectDeleter< T >
ServiceDeleter
DenseNumericTableIface
NumericTable
DenseTensorIface
Tensor
Distributed< step, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
Distributed< step, algorithmFPType, method >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainer< computeStep, algorithmFPType, method, cpu >
DistributedContainer< step, algorithmFPType, method, cpu >
DistributedContainerIface< step >
DistributedInput< method >
DistributedInput< step >
DistributedInput< step >
DistributedInput< step >
DistributedInput< step >
DistributedInput< step >
DistributedInput< step >
DistributedInput< step >
Error
ErrorCollection
ErrorDetail
exception
Exception
Factory
FeatureAuxData
Index
Indices
Indices
Indices
Indices
Indices
Indices
Indices
InitIface
DefaultInit
InitIface
DefaultInit
InputAlgorithmsCollection
InputIface
DistributedInput< step2Master >
Input
InputIface
DistributedInput< step2Master >
Input
IsSameType< U, V >
IsSameType< U, U >
KDBFeatureManager
Kernel
KernelSize
KernelSizes
KernelSizes
KernelSizes
KernelSizes
KernelSizes
KeyValueCollection< T >
SerializableKeyValueCollection< T >
KeyValueDataCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
ResultCollection
KeyValueInputCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
InputDataCollection
LayerDescriptor
LayerDescriptor
map
CategoricalFeatureDictionary
ModifierIface
ColumnFilter
MakeCategorical
OneHotEncoder
MySQLFeatureManager
NextLayers
NumericTableIface
NumericTable
OnlineContainer< algorithmFPType, method, cpu >
PackedArrayNumericTableIface
PackedSymmetricMatrix< packedLayout, DataType >
PackedTriangularMatrix< packedLayout, DataType >
Padding
Paddings
Paddings
Paddings
Paddings
Paddings
Parameter< algorithmFPType, method >
Parameter
Parameter
Parameter
Parameter
BaseParameter< algorithmFPType, correlationDense >
DistributedParameter< step2Master, algorithmFPType, correlationDense >
OnlineParameter< algorithmFPType, correlationDense >
BaseParameter< algorithmFPType, svdDense >
OnlineParameter< algorithmFPType, svdDense >
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
ParameterBase
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
OnlineParameter
Parameter
Parameter
ParameterBase
Parameter< algorithmFPType >
Parameter< algorithmFPType >
Parameter< algorithmFPType >
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
DistributedParameter
ParameterBase
Parameter
Parameter
Parameter
DistributedStep2LocalPlusPlusParameter
Parameter
Parameter
Parameter
Parameter
TrainParameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter< method >
Parameter< baconDense >
Parameter< defaultDense >
Parameter
Parameter
Parameter< algorithmFPType >
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
ParameterBase
Parameter< algorithmFPType >
BaseParameter
Parameter< algorithmFPType, defaultDense >
Parameter< algorithmFPType, sumDense >
Parameter
Parameter
Parameter
BaseParameter
Parameter< method >
Parameter< defaultDense >
Parameter< miniBatch >
Parameter< momentum >
Parameter
Parameter
Parameter
BaseParameter< algorithmFPType, method >
DistributedParameter< step, algorithmFPType, method >
OnlineParameter< algorithmFPType, method >
DistributedParameter< step2Master, algorithmFPType, svdDense >
BaseBatchParameter
BatchParameter< algorithmFPType, correlationDense >
BatchParameter< algorithmFPType, svdDense >
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
Parameter
SharedPtr< T >
SharedPtr< byte >
SharedPtr< daal::algorithms::classifier::prediction::interface1::Batch >
SharedPtr< daal::algorithms::classifier::training::interface1::Batch >
SharedPtr< daal::algorithms::covariance::interface1::BatchImpl >
SharedPtr< daal::algorithms::covariance::interface1::DistributedIface< step2Master > >
SharedPtr< daal::algorithms::covariance::interface1::OnlineImpl >
SharedPtr< daal::algorithms::em_gmm::init::interface1::Result >
SharedPtr< daal::algorithms::low_order_moments::interface1::BatchImpl >
SharedPtr< daal::algorithms::multivariate_outlier_detection::interface1::InitIface >
SharedPtr< daal::algorithms::normalization::zscore::interface2::BatchImpl >
SharedPtr< daal::algorithms::optimization_solver::iterative_solver::interface1::Batch >
SharedPtr< daal::algorithms::pca::interface1::PartialResult< correlationDense > >
SharedPtr< daal::algorithms::pca::interface1::PartialResult< svdDense > >
SharedPtr< daal::algorithms::pca::transform::interface1::Result >
SharedPtr< daal::algorithms::quality_metric::interface1::Batch >
SharedPtr< daal::algorithms::univariate_outlier_detection::interface1::InitIface >
SharedPtr< daal::algorithms::weak_learner::prediction::interface1::Batch >
SharedPtr< daal::algorithms::weak_learner::training::interface1::Batch >
SharedPtr< daal::data_management::interface1::Matrix< double > >
SharedPtr< daal::services::interface1::Collection< daal::algorithms::neural_networks::layers::interface1::NextLayers > >
SharedPtr< daal::services::interface1::ErrorCollection >
SharedPtr< daal::services::interface1::KernelErrorCollection >
SharedPtr< DAAL_DATA_TYPE >
SharedPtr< DataCollection >
SharedPtr< DataSourceDictionary >
SharedPtr< DataType >
SharedPtr< DistributedPartialResult >
SharedPtr< DistributedPartialResultStep1 >
SharedPtr< DistributedPartialResultStep2 >
SharedPtr< DistributedPartialResultStep3 >
SharedPtr< DistributedPartialResultStep4 >
SharedPtr< DistributedStep2LocalPlusPlusPartialResult >
SharedPtr< DistributedStep3MasterPlusPlusPartialResult >
SharedPtr< DistributedStep4LocalPlusPlusPartialResult >
SharedPtr< DistributedStep5MasterPlusPlusPartialResult >
SharedPtr< Error >
SharedPtr< InputDataCollection >
SharedPtr< KernelErrorCollection >
SharedPtr< LearnableParametersIface >
SharedPtr< ModelImpl >
SharedPtr< NumericTable >
SharedPtr< NumericTableDictionary >
SharedPtr< PartialResult >
SharedPtr< Result >
SharedPtr< ResultCollection >
SharedPtr< size_t >
Status
Stride
Strides
Strides
Strides
Strides
Strides
StringRowFeatureManagerIface
CSVFeatureManager
SubtensorDescriptor< DataType >
TensorIface
Tensor
TensorLayoutIface
TensorLayout
TreeNodeVisitor
TreeNodeVisitor
ValidationMetricIface
ValueSizes
Class Members
All
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Functions
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Variables
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Typedefs
Enumerations
Enumerator
Files
File List
abs.h
abs_layer.h
abs_layer_backward.h
abs_layer_backward_types.h
abs_layer_forward.h
abs_layer_forward_types.h
abs_layer_types.h
abs_types.h
adaboost_model.h
adaboost_predict.h
adaboost_predict_types.h
adaboost_quality_metric_set_batch.h
adaboost_quality_metric_set_types.h
adaboost_training_batch.h
adaboost_training_types.h
adagrad_batch.h
adagrad_types.h
algorithm.h
algorithm_base.h
algorithm_base_common.h
algorithm_base_mode.h
algorithm_base_mode_batch.h
algorithm_base_mode_distributed.h
algorithm_base_mode_impl.h
algorithm_base_mode_online.h
algorithm_container_base_batch.h
algorithm_container_base_common.h
algorithm_kernel.h
algorithm_quality_metric_batch.h
algorithm_quality_metric_set_batch.h
algorithm_quality_metric_set_types.h
algorithm_types.h
analysis.h
aos_numeric_table.h
apriori.h
apriori_types.h
average_pooling1d_layer.h
average_pooling1d_layer_backward.h
average_pooling1d_layer_backward_types.h
average_pooling1d_layer_forward.h
average_pooling1d_layer_forward_types.h
average_pooling1d_layer_types.h
average_pooling2d_layer.h
average_pooling2d_layer_backward.h
average_pooling2d_layer_backward_types.h
average_pooling2d_layer_forward.h
average_pooling2d_layer_forward_types.h
average_pooling2d_layer_types.h
average_pooling3d_layer.h
average_pooling3d_layer_backward.h
average_pooling3d_layer_backward_types.h
average_pooling3d_layer_forward.h
average_pooling3d_layer_forward_types.h
average_pooling3d_layer_types.h
base.h
batch_normalization_layer.h
batch_normalization_layer_backward.h
batch_normalization_layer_backward_types.h
batch_normalization_layer_forward.h
batch_normalization_layer_forward_types.h
batch_normalization_layer_types.h
bernoulli.h
bernoulli_types.h
binary_confusion_matrix_batch.h
binary_confusion_matrix_types.h
boosting_model.h
boosting_predict.h
boosting_training_batch.h
brownboost_model.h
brownboost_predict.h
brownboost_predict_types.h
brownboost_quality_metric_set_batch.h
brownboost_quality_metric_set_types.h
brownboost_training_batch.h
brownboost_training_types.h
bzip2compression.h
cholesky.h
cholesky_types.h
classifier_model.h
classifier_predict.h
classifier_predict_types.h
classifier_training_batch.h
classifier_training_online.h
classifier_training_types.h
collection.h
compression.h
compression_stream.h
concat_layer.h
concat_layer_backward.h
concat_layer_backward_types.h
concat_layer_forward.h
concat_layer_forward_types.h
concat_layer_types.h
convolution2d_layer.h
convolution2d_layer_backward.h
convolution2d_layer_backward_types.h
convolution2d_layer_forward.h
convolution2d_layer_forward_types.h
convolution2d_layer_types.h
correlation_distance.h
correlation_distance_types.h
cosine_distance.h
cosine_distance_types.h
covariance_batch.h
covariance_distributed.h
covariance_online.h
covariance_types.h
csr_numeric_table.h
csv_data_source.h
csv_feature_manager.h
daal.h
daal_atomic_int.h
daal_defines.h
IsSameType
IsSameType< U, U >
ComputeMode
batch
distributed
online
ComputeStep
step1Local
step2Master
step3Local
step4Local
step2Local
step3Master
step5Master
MemType
dram
mcdram
daal_kernel_defines.h
daal_memory.h
daal_shared_ptr.h
daal_string.h
daal_win.h
data_archive.h
data_block.h
data_collection.h
data_dictionary.h
data_serialize.h
data_source.h
data_source_dictionary.h
data_source_utils.h
data_utils.h
decision_forest_classification_model.h
decision_forest_classification_predict.h
decision_forest_classification_predict_types.h
decision_forest_classification_training_batch.h
decision_forest_classification_training_types.h
decision_forest_regression_model.h
decision_forest_regression_predict.h
decision_forest_regression_predict_types.h
decision_forest_regression_training_batch.h
decision_forest_regression_training_types.h
decision_forest_training_parameter.h
decision_tree_classification_model.h
decision_tree_classification_predict.h
decision_tree_classification_predict_types.h
decision_tree_classification_training_batch.h
decision_tree_classification_training_types.h
decision_tree_model.h
decision_tree_regression_model.h
decision_tree_regression_predict.h
decision_tree_regression_predict_types.h
decision_tree_regression_training_batch.h
decision_tree_regression_training_types.h
distribution.h
distribution_types.h
dropout_layer.h
dropout_layer_backward.h
dropout_layer_backward_types.h
dropout_layer_forward.h
dropout_layer_forward_types.h
dropout_layer_types.h
eltwise_sum_layer.h
eltwise_sum_layer_backward.h
eltwise_sum_layer_backward_types.h
eltwise_sum_layer_forward.h
eltwise_sum_layer_forward_types.h
eltwise_sum_layer_types.h
elu_layer.h
elu_layer_backward.h
elu_layer_backward_types.h
elu_layer_forward.h
elu_layer_forward_types.h
elu_layer_types.h
em_gmm.h
em_gmm_covariance_storage_id.h
em_gmm_init_batch.h
em_gmm_init_types.h
em_gmm_types.h
engine.h
engine_types.h
env_detect.h
error_handling.h
error_id.h
error_indexes.h
factory.h
file_data_source.h
fullyconnected_layer.h
fullyconnected_layer_backward.h
fullyconnected_layer_backward_types.h
fullyconnected_layer_forward.h
fullyconnected_layer_forward_types.h
fullyconnected_layer_types.h
gaussian_initializer.h
gaussian_initializer_types.h
gbt_classification_model.h
gbt_classification_predict.h
gbt_classification_predict_types.h
gbt_classification_training_batch.h
gbt_classification_training_types.h
gbt_regression_model.h
gbt_regression_predict.h
gbt_regression_predict_types.h
gbt_regression_training_batch.h
gbt_regression_training_types.h
gbt_training_parameter.h
homogen_numeric_table.h
homogen_tensor.h
host_app.h
implicit_als_model.h
implicit_als_predict_ratings_batch.h
implicit_als_predict_ratings_distributed.h
implicit_als_predict_ratings_types.h
implicit_als_training_batch.h
implicit_als_training_distributed.h
implicit_als_training_init_batch.h
implicit_als_training_init_distributed.h
implicit_als_training_init_types.h
implicit_als_training_types.h
initializer.h
initializer_types.h
initializer_types_defs.h
input_collection.h
iterative_solver_batch.h
iterative_solver_types.h
kdb_data_source.h
kdb_feature_manager.h
kdtree_knn_classification_model.h
kdtree_knn_classification_predict.h
kdtree_knn_classification_predict_types.h
kdtree_knn_classification_training_batch.h
kdtree_knn_classification_training_types.h
kernel_function.h
kernel_function_linear.h
kernel_function_rbf.h
kernel_function_types.h
kernel_function_types_linear.h
kernel_function_types_rbf.h
kmeans_batch.h
kmeans_distributed.h
kmeans_init_batch.h
kmeans_init_distributed.h
kmeans_init_types.h
kmeans_types.h
layer.h
layer_backward.h
layer_backward_types.h
layer_descriptor.h
layer_forward.h
layer_forward_container_base.h
layer_forward_descriptor.h
layer_forward_types.h
layer_types.h
lbfgs_batch.h
lbfgs_types.h
lcn_layer.h
lcn_layer_backward.h
lcn_layer_backward_types.h
lcn_layer_forward.h
lcn_layer_forward_types.h
lcn_layer_types.h
library_version_info.h
linear_model_model.h
linear_model_predict.h
linear_model_predict_types.h
linear_model_training_batch.h
linear_model_training_online.h
linear_model_training_types.h
linear_regression_group_of_betas_batch.h
linear_regression_group_of_betas_types.h
linear_regression_model.h
linear_regression_ne_model.h
linear_regression_predict.h
linear_regression_predict_types.h
linear_regression_qr_model.h
linear_regression_quality_metric_set_batch.h
linear_regression_quality_metric_set_types.h
linear_regression_single_beta_batch.h
linear_regression_single_beta_types.h
linear_regression_training_batch.h
linear_regression_training_distributed.h
linear_regression_training_online.h
linear_regression_training_types.h
locallyconnected2d_layer.h
locallyconnected2d_layer_backward.h
locallyconnected2d_layer_backward_types.h
locallyconnected2d_layer_forward.h
locallyconnected2d_layer_forward_types.h
locallyconnected2d_layer_types.h
logistic.h
logistic_cross_layer.h
logistic_cross_layer_backward.h
logistic_cross_layer_backward_types.h
logistic_cross_layer_forward.h
logistic_cross_layer_forward_types.h
logistic_cross_layer_types.h
logistic_layer.h
logistic_layer_backward.h
logistic_layer_backward_types.h
logistic_layer_forward.h
logistic_layer_forward_types.h
logistic_layer_types.h
logistic_types.h
logitboost_model.h
logitboost_predict.h
logitboost_predict_types.h
logitboost_quality_metric_set_batch.h
logitboost_quality_metric_set_types.h
logitboost_training_batch.h
logitboost_training_types.h
loss_layer.h
loss_layer_backward.h
loss_layer_backward_types.h
loss_layer_forward.h
loss_layer_forward_types.h
low_order_moments_batch.h
low_order_moments_distributed.h
low_order_moments_online.h
low_order_moments_types.h
lrn_layer.h
lrn_layer_backward.h
lrn_layer_backward_types.h
lrn_layer_forward.h
lrn_layer_forward_types.h
lrn_layer_types.h
lzocompression.h
matrix.h
maximum_pooling1d_layer.h
maximum_pooling1d_layer_backward.h
maximum_pooling1d_layer_backward_types.h
maximum_pooling1d_layer_forward.h
maximum_pooling1d_layer_forward_types.h
maximum_pooling1d_layer_types.h
maximum_pooling2d_layer.h
maximum_pooling2d_layer_backward.h
maximum_pooling2d_layer_backward_types.h
maximum_pooling2d_layer_forward.h
maximum_pooling2d_layer_forward_types.h
maximum_pooling2d_layer_types.h
maximum_pooling3d_layer.h
maximum_pooling3d_layer_backward.h
maximum_pooling3d_layer_backward_types.h
maximum_pooling3d_layer_forward.h
maximum_pooling3d_layer_forward_types.h
maximum_pooling3d_layer_types.h
mcg59.h
mcg59_types.h
memory_block.h
merged_numeric_table.h
minmax.h
minmax_types.h
model.h
mse_batch.h
mse_types.h
mt19937.h
mt19937_types.h
multi_class_classifier_model.h
multi_class_classifier_predict.h
multi_class_classifier_predict_types.h
multi_class_classifier_quality_metric_set_batch.h
multi_class_classifier_quality_metric_set_types.h
multi_class_classifier_train.h
multi_class_classifier_train_types.h
multiclass_confusion_matrix_batch.h
multiclass_confusion_matrix_types.h
multinomial_naive_bayes_model.h
multinomial_naive_bayes_predict.h
multinomial_naive_bayes_predict_types.h
multinomial_naive_bayes_quality_metric_set_batch.h
multinomial_naive_bayes_quality_metric_set_types.h
multinomial_naive_bayes_training_batch.h
multinomial_naive_bayes_training_distributed.h
multinomial_naive_bayes_training_online.h
multinomial_naive_bayes_training_types.h
mysql_feature_manager.h
neural_networks_learnable_parameters.h
neural_networks_prediction.h
neural_networks_prediction_input.h
neural_networks_prediction_model.h
neural_networks_prediction_result.h
neural_networks_prediction_topology.h
neural_networks_prediction_types.h
neural_networks_training.h
neural_networks_training_distributed.h
neural_networks_training_input.h
neural_networks_training_model.h
neural_networks_training_partial_result.h
neural_networks_training_result.h
neural_networks_training_topology.h
neural_networks_training_types.h
neural_networks_types.h
normal.h
normal_types.h
numeric_table.h
numeric_types.h
objective_function_batch.h
objective_function_types.h
odbc_data_source.h
optimization_solver_batch.h
outlier_detection_bacon.h
outlier_detection_bacon_types.h
outlier_detection_multivariate.h
outlier_detection_multivariate_types.h
outlier_detection_univariate.h
outlier_detection_univariate_types.h
pca_batch.h
pca_distributed.h
pca_explained_variance_batch.h
pca_explained_variance_types.h
pca_online.h
pca_quality_metric_set_batch.h
pca_quality_metric_set_types.h
pca_transform_batch.h
pca_transform_types.h
pca_types.h
pivoted_qr_batch.h
pivoted_qr_types.h
pooling1d_layer_backward_types.h
pooling1d_layer_forward_types.h
pooling1d_layer_types.h
pooling2d_layer_backward_types.h
pooling2d_layer_forward_types.h
pooling2d_layer_types.h
pooling3d_layer_backward_types.h
pooling3d_layer_forward_types.h
pooling3d_layer_types.h
precomputed_batch.h
precomputed_types.h
prediction.h
prelu_layer.h
prelu_layer_backward.h
prelu_layer_backward_types.h
prelu_layer_forward.h
prelu_layer_forward_types.h
prelu_layer_types.h
qr_batch.h
qr_distributed.h
qr_online.h
qr_types.h
quantiles_batch.h
quantiles_types.h
regression_model.h
regression_predict.h
regression_predict_types.h
regression_training_batch.h
regression_training_online.h
regression_training_types.h
relu.h
relu_layer.h
relu_layer_backward.h
relu_layer_backward_types.h
relu_layer_forward.h
relu_layer_forward_types.h
relu_layer_types.h
relu_types.h
reshape_layer.h
reshape_layer_backward.h
reshape_layer_backward_types.h
reshape_layer_forward.h
reshape_layer_forward_types.h
reshape_layer_types.h
ridge_regression_model.h
ridge_regression_ne_model.h
ridge_regression_predict.h
ridge_regression_predict_types.h
ridge_regression_training_batch.h
ridge_regression_training_distributed.h
ridge_regression_training_online.h
ridge_regression_training_types.h
rlecompression.h
row_merged_numeric_table.h
sgd_batch.h
sgd_types.h
smoothrelu.h
smoothrelu_layer.h
smoothrelu_layer_backward.h
smoothrelu_layer_backward_types.h
smoothrelu_layer_forward.h
smoothrelu_layer_forward_types.h
smoothrelu_layer_types.h
smoothrelu_types.h
soa_numeric_table.h
softmax.h
softmax_cross_layer.h
softmax_cross_layer_backward.h
softmax_cross_layer_backward_types.h
softmax_cross_layer_forward.h
softmax_cross_layer_forward_types.h
softmax_cross_layer_types.h
softmax_layer.h
softmax_layer_backward.h
softmax_layer_backward_types.h
softmax_layer_forward.h
softmax_layer_forward_types.h
softmax_layer_types.h
softmax_types.h
sorting_batch.h
sorting_types.h
spatial_average_pooling2d_layer.h
spatial_average_pooling2d_layer_backward.h
spatial_average_pooling2d_layer_backward_types.h
spatial_average_pooling2d_layer_forward.h
spatial_average_pooling2d_layer_forward_types.h
spatial_average_pooling2d_layer_types.h
spatial_maximum_pooling2d_layer.h
spatial_maximum_pooling2d_layer_backward.h
spatial_maximum_pooling2d_layer_backward_types.h
spatial_maximum_pooling2d_layer_forward.h
spatial_maximum_pooling2d_layer_forward_types.h
spatial_maximum_pooling2d_layer_types.h
spatial_pooling2d_layer_backward_types.h
spatial_pooling2d_layer_forward_types.h
spatial_pooling2d_layer_types.h
spatial_stochastic_pooling2d_layer.h
spatial_stochastic_pooling2d_layer_backward.h
spatial_stochastic_pooling2d_layer_backward_types.h
spatial_stochastic_pooling2d_layer_forward.h
spatial_stochastic_pooling2d_layer_forward_types.h
spatial_stochastic_pooling2d_layer_types.h
split_layer.h
split_layer_backward.h
split_layer_backward_types.h
split_layer_forward.h
split_layer_forward_types.h
split_layer_types.h
stochastic_pooling2d_layer.h
stochastic_pooling2d_layer_backward.h
stochastic_pooling2d_layer_backward_types.h
stochastic_pooling2d_layer_forward.h
stochastic_pooling2d_layer_forward_types.h
stochastic_pooling2d_layer_types.h
string_data_source.h
stump_model.h
stump_predict.h
stump_predict_types.h
stump_training_batch.h
stump_training_types.h
subtensor.h
sum_of_functions_batch.h
sum_of_functions_types.h
svd_batch.h
svd_distributed.h
svd_online.h
svd_types.h
svm_model.h
svm_predict.h
svm_predict_types.h
svm_quality_metric_set_batch.h
svm_quality_metric_set_types.h
svm_train.h
svm_train_types.h
symmetric_matrix.h
tanh.h
tanh_layer.h
tanh_layer_backward.h
tanh_layer_backward_types.h
tanh_layer_forward.h
tanh_layer_forward_types.h
tanh_layer_types.h
tanh_types.h
tensor.h
training.h
transposed_conv2d_layer.h
transposed_conv2d_layer_backward.h
transposed_conv2d_layer_backward_types.h
transposed_conv2d_layer_forward.h
transposed_conv2d_layer_forward_types.h
transposed_conv2d_layer_types.h
classifier/tree_traverse.h
regression/tree_traverse.h
truncated_gaussian_initializer.h
truncated_gaussian_initializer_types.h
uniform.h
uniform_initializer.h
uniform_initializer_types.h
uniform_types.h
weak_learner_model.h
weak_learner_predict.h
weak_learner_training_batch.h
weak_learner_training_types.h
xavier_initializer.h
xavier_initializer_types.h
zlibcompression.h
zscore.h
zscore_types.h