Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Provides information about the version of Intel(R) Data Analytics Acceleration Library. More...
Classes | |
| class | Exception |
| Class that represents an exception. More... | |
| class | Error |
| Class that represents an error. More... | |
| class | KernelErrorCollection |
| Class that represents a kernel error collection (collection that cannot throw exceptions) More... | |
| class | Status |
| class | Environment |
| Class that provides methods to interact with the environment, including processor detection and control by the number of threads. More... | |
| class | Collection |
| Class that implements functionality of the Collection container. More... | |
Functions | |
| def | __init__ |
| def | what |
| def | getException |
| def | __init__ |
| def | id |
| def | setId |
| def | description |
| def | addIntDetail |
| def | addDoubleDetail |
| def | addStringDetail |
| def | details |
| def | create |
| def | __init__ |
| def | add |
| def | isEmpty |
| def | size |
| def | at |
| def | getDescription |
| def | throwIfPossible |
| def | getInstance |
| def | freeInstance |
| def | getCpuId |
| def | setCpuId |
| def | enableInstructionsSet |
| def | setDynamicLibraryThreadingTypeOnWindows |
| def | setNumberOfThreads |
| def | enableThreadPinning |
| def | getNumberOfThreads |
| def | setMemoryLimit |
| def | Environment_getInstance |
| def | Environment_freeInstance |
| def | __init__ |
| def | size |
| def | capacity |
| def | get |
| def | data |
| def | push_back |
| def | safe_push_back |
| def | __lshift__ |
| def | resize |
| def | clear |
| def | insert |
| def | erase |
| def | __getitem__ |
| def | __setitem__ |
Provides information about the version of Intel(R) Data Analytics Acceleration Library.
| def __getitem__ | ( | self, | |
| i | |||
| ) |
read operator []
| def __init__ | ( | self, | |
| description | |||
| ) |
Constructs an exception with a description
| description | Description of the exception |
| def __init__ | ( | self, | |
| args | |||
| ) |
Constructs an error from an identifier
| id | Identifier of the error |
Copy constructor. Constructs an error from a copy of the content of another error
| e | Another error to be used as a source with which to initialize the contents of this error |
| def __init__ | ( | self, | |
| args | |||
| ) |
Constructs a kernel error collection
Copy constructor of a kernel error collection
| other | Kernel error collection that will be copied |
| def __init__ | ( | self, | |
| args | |||
| ) |
Default constructor. Sets the size and capacity to 0.
Constructor. Creates a collection with n empty elements
| n | Number of elements |
Constructor. Creates a collection from the array
| n | Number of elements |
| array | Array with elements |
Copy constructor
| other | Copied collection |
| def __lshift__ | ( | self, | |
| x | |||
| ) |
Adds an element to the end of a collection
| x | Element to add |
| def __setitem__ | ( | self, | |
| i, | |||
| v | |||
| ) |
write operator []
| def add | ( | self, | |
| args | |||
| ) |
Adds error id to kernel error collection
| id | Identifier of error |
Adds error to kernel error collection
| e | Error to be added to kernel error collection |
Adds error kernel collection
| e | Error collection that will be added |
Adds error kernel collection
| e | Error collection that will be added |
| def addDoubleDetail | ( | self, | |
| id, | |||
| value | |||
| ) |
Adds a floating-point detail into a collection of details associated with this error
| id | Identifier of the detail |
| value | Value of the detail |
| def addIntDetail | ( | self, | |
| id, | |||
| value | |||
| ) |
Adds an integer detail into a collection of details associated with this error
| id | Identifier of the detail |
| value | Value of the detail |
| def addStringDetail | ( | self, | |
| id, | |||
| value | |||
| ) |
Adds a string detail into a collection of details associated with this error
| id | Identifier of the detail |
| value | Value of the detail |
| def at | ( | self, | |
| args | |||
| ) |
Element access
| index | Index of an accessed element |
Element access
| index | Index of an accessed element |
| def capacity | ( | self | ) |
Size of an allocated storage
| def clear | ( | self | ) |
Clears a collection: removes an array, sets the size and capacity to 0
| def create | ( | args | ) |
create(daal.services.ErrorID id) -> daal.services.SharedPtr< daal.services.Error >
| def data | ( | self, | |
| args | |||
| ) |
Returns pointer to the underlying array serving as element storage
Returns const pointer to the underlying array serving as element storage
| def description | ( | self | ) |
Returns the word description of the error
| def details | ( | self | ) |
Access to error details list
| def enableInstructionsSet | ( | self, | |
| enable | |||
| ) |
Enable dispatching for new Intel(R) architectures
| enable | An enabling flag |
| def enableThreadPinning | ( | self, | |
enableThreadPinningFlag = True |
|||
| ) |
Enables thread pinning
| enableThreadPinningFlag | Flag to thread pinning enable |
| def daal.services.Environment_freeInstance | ( | ) |
Decreases the instance counter
| def daal.services.Environment_getInstance | ( | ) |
Returns the environment instance
| def erase | ( | self, | |
| pos | |||
| ) |
Erase an element from a position
| pos | Position to erase |
| def daal.services.Error_create | ( | args | ) |
create(daal.services.ErrorID id) -> daal.services.SharedPtr< daal.services.Error >
| def daal.services.Exception_getException | ( | args | ) |
| def freeInstance | ( | ) |
Decreases the instance counter
| def get | ( | self, | |
| args | |||
| ) |
Element access
| index | Index of an accessed element |
Const element access
| index | Index of an accessed element |
| def getCpuId | ( | self, | |
| args | |||
| ) |
Detects the processor type
| enable | An enabling flag |
| def getDescription | ( | self | ) |
Returns description of all errors from collection
| def getException | ( | args | ) |
| def getInstance | ( | ) |
Returns the environment instance
| def getNumberOfThreads | ( | self | ) |
Returns the number of used threads
| def id | ( | self | ) |
Returns a description of the error
| def insert | ( | self, | |
| args | |||
| ) |
Insert an element into a position
| pos | Position to set |
| x | Element to set |
Insert a collection to another collection into a position
| pos | Position to see |
| other | Collection to set |
| def isEmpty | ( | self | ) |
Returns true if kernel error collection is empty
| def push_back | ( | self, | |
| x | |||
| ) |
Adds an element to the end of a collection
| x | Element to add |
| def resize | ( | self, | |
| newCapacity | |||
| ) |
Changes the size of a storage
| newCapacity | Size of a new storage. |
| def safe_push_back | ( | self, | |
| x | |||
| ) |
Adds an element to the end of a collection
| x | The element to add |
| def setCpuId | ( | self, | |
| cpuid | |||
| ) |
Restrict dispatching to the required code path
| cpuid | CPU ID |
| def setDynamicLibraryThreadingTypeOnWindows | ( | self, | |
| type | |||
| ) |
Sets the threading mode on Windows*
| type | The threading mode of the library |
| def setId | ( | self, | |
| id | |||
| ) |
Sets an identifier of the error
| id | Identifier of the error |
| def setMemoryLimit | ( | self, | |
| type, | |||
| limit | |||
| ) |
Limits the amount of memory of the given type available to internal function calls
| type | Memory type |
| limit | Limit in megabytes |
| def setNumberOfThreads | ( | self, | |
| numThreads | |||
| ) |
Sets the number of threads to use
| numThreads | The number of threads |
| def size | ( | self | ) |
Size of a collection
| def size | ( | self | ) |
Size of a collection
| def daal.services.throwIfPossible | ( | s | ) |
throwIfPossible(Status s) -> Status
| def what | ( | self | ) |
Return description of the exception
| ActualValue = ... |
Detail about actual value
| ArgumentName = ... |
Detail about argument name
| avx = ... |
Intel(R) Advanced Vector Extensions (Intel(R) AVX)
| avx2 = ... |
Intel(R) Advanced Vector Extensions 2 (Intel(R) AVX2)
| avx512 = ... |
Intel(R) Xeon(R) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
|
static |
Intel(R) Xeon(R) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
| avx512_mic = ... |
Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
|
static |
Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
| avx512_mic_e1 = ... |
Intel(R) Xeon Phi(TM) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with support of AVX512_4FMAPS and AVX512_4VNNIW instruction groups. Should be used as parameter for setCpuId function only. Can`t be received as return value of setCpuId, getCpuId and enableInstructionsSet functions.
|
static |
Intel(R) Xeon Phi(TM) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with support of AVX512_4FMAPS and AVX512_4VNNIW instruction groups
| Column = ... |
Detail about column
| Component = ... |
Detail about component number
|
static |
Default processor type
| Dimension = ... |
Detail about tensor dimension
| ElementInCollection = ... |
Detail about element in collection
| ErrorAccuracyThreshold = ... |
Incorrect accuracy threshold
| ErrorALSInconsistentSparseDataBlocks = ... |
Failed to find a non-zero value with needed indices
| ErrorALSInternal = ... |
ALS algorithm failed to solve a system of normal equations
| ErrorAprioriIncorrectConfidenceTableSize = ... |
Number of rows in the output table containing
| ErrorAprioriIncorrectInputData = ... |
Incorrect input data
| ErrorAprioriIncorrectItemsetTableSize = ... |
Number of rows in the output table containing
| ErrorAprioriIncorrectLeftRuleTableSize = ... |
Number of rows in the output table containing
| ErrorAprioriIncorrectRightRuleTableSize = ... |
Number of rows in the output table containing
| ErrorAprioriIncorrectSupportTableSize = ... |
Number of rows in the output table containing
| ErrorBzip2DataFormat = ... |
Input compressed stream is in wrong format,
| ErrorBzip2Internal = ... |
Bzip2 internal error
| ErrorBzip2MemoryAllocationFailed = ... |
Internal Bzip2 memory allocation failed
| ErrorBzip2Parameters = ... |
Unsupported Bzip2 parameters
| ErrorCholeskyInternal = ... |
Cholesky internal error
| ErrorCloneMethodFailed = ... |
Cloning of algorithm failed
| ErrorCompressionEmptyInputStream = ... |
Input stream of size 0 is not supported
| ErrorCompressionEmptyOutputStream = ... |
Output stream of size 0 is not supported
| ErrorCompressionNullInputStream = ... |
Null input stream is not supported
| ErrorCompressionNullOutputStream = ... |
Null output stream is not supported
| ErrorConvolutionInternal = ... |
Convoltion internal error
| ErrorCouldntAttachCurrentThreadToJavaVM = ... |
Couldn't attach current thread to Java VM
| ErrorCouldntCreateGlobalReferenceToJavaObject = ... |
Couldn't create global reference to Java object
| ErrorCouldntDetachCurrentThreadFromJavaVM = ... |
Couldn't detach current thread from Java VM
| ErrorCouldntFindClassForJavaObject = ... |
Couldn't find class for Java object
| ErrorCouldntFindJavaMethod = ... |
Couldn't find Java method
| ErrorCovarianceInternal = ... |
Covariance internal error
| ErrorCpuIsInvalid = ... |
Invalid CPU value used
| ErrorCpuNotSupported = ... |
CPU not supported
| ErrorCrossProductTableIsNotSquare = ... |
Number of columns or rows
| ErrorDataArchiveInternal = ... |
Incorrect size of data block
| ErrorDataSourseNotAvailable = ... |
ErrorDataSourseNotAvailable
| ErrorDFBootstrapOOBIncompatible = ... |
Parameter 'bootstrap' is incompatible with requested OOB result (no out-of-bag observations)
| ErrorDFBootstrapVarImportanceIncompatible = ... |
Parameter 'bootstrap' is incompatible with requested variable importance type
| ErrorDictionaryAlreadyAvailable = ... |
Data Dictionary is already available
| ErrorDictionaryNotAvailable = ... |
Data Dictionary is not available
| ErrorEMCovariance = ... |
Error during covariance computation for component on M step
| ErrorEMEmptyComponent = ... |
Empty component during computation
| ErrorEMIllConditionedCovarianceMatrix = ... |
Ill-conditioned covariance matrix
| ErrorEMIncorrectMaxNumberOfIterations = ... |
Incorrect maximum number of iterations value in EM parameter
| ErrorEMIncorrectNumberOfComponents = ... |
Incorrect number of components value in EM parameter
| ErrorEMIncorrectToleranceToConverge = ... |
Incorrect value of tolerance to converge in EM parameter
| ErrorEMInitInconsistentNumberOfComponents = ... |
Inconsistent number of component: number of observations should be
| ErrorEMInitIncorrectDepthNumberIterations = ... |
Incorrect depth number of iterations value in EM init parameter
| ErrorEMInitIncorrectNumberOfComponents = ... |
Incorrect numeber of components value in EM initialization parameter
| ErrorEMInitIncorrectNumberOfTrials = ... |
Incorrect number of trials value in EM initialization parameter
| ErrorEMInitIncorrectToleranceToConverge = ... |
Incorrect tolerance to converge value in EM initialization parameter
| ErrorEMInitNoTrialConverges = ... |
No trial of internal EM start converges
| ErrorEMMatrixInverse = ... |
Sigma matrix on M-step cannot be inverted
| ErrorEMNegativeDefinedCovarianceMartix = ... |
Negative-defined covariance matrix
| ErrorEmptyAuxiliaryDataCollection = ... |
Empty auxiliary data collection
| ErrorEmptyCSRNumericTable = ... |
CSR Numeric Table is empty
| ErrorEmptyDataBlock = ... |
Empty data block
| ErrorEmptyDataSource = ... |
Data source is empty
| ErrorEmptyHomogenNumericTable = ... |
Homogeneous Numeric Table is empty
| ErrorEmptyInputAlgorithmsCollection = ... |
Input algorithms collection is empty
| ErrorEmptyInputCollection = ... |
Naive Bayes: Input collection is empty
| ErrorEmptyInputNumericTable = ... |
Input numeric table is empty
| ErrorFeatureNamesNotAvailable = ... |
Feature names are not available for feature modifier
| ErrorGbtIncorrectNumberOfTrees = ... |
Number of trees in the model is not consistent with the number of classes
| ErrorGbtPredictIncorrectNumberOfIterations = ... |
Number of iterations value in GBT parameter is not consistent with the model
| ErrorHandlesSQL = ... |
ErrorHandlesSQL
| ErrorInconsistenceModelAndBatchSizeInParameter = ... |
Inconsistence of model and batch size parameter in optimization solver
| ErrorInconsistentNumberOfColumns = ... |
Inconsistent number of rows in Numeric Table
| ErrorInconsistentNumberOfRows = ... |
Number of rows in provided numeric tables is inconsistent
| ErrorIncorrectClassLabels = ... |
Class labels provided to classification algorithm are incorrect
| ErrorIncorrectCombinationOfComputationModeAndStep = ... |
Incorrect combination of computation mode and computation step
| ErrorIncorrectCrossProductTableSize = ... |
Number of columns or rows
| ErrorIncorrectDataCollectionSize = ... |
Incorrect DataCollection size
| ErrorIncorrectDataRange = ... |
Data range is incorrect
| ErrorIncorrectElementInCollection = ... |
Incorrect element in collection
| ErrorIncorrectElementInNumericTableCollection = ... |
Incorrect element in collection of numeric tables
| ErrorIncorrectElementInPartialResultCollection = ... |
Incorrect element in collection of partial results
| ErrorIncorrectEngineParameter = ... |
Incorrect engine parameter in distribution
| ErrorIncorrectErrorcodeFromGenerator = ... |
Incorrect error code is returned from data generator
| ErrorIncorrectIndex = ... |
Index in collection is out of range
| ErrorIncorrectInputNumericTable = ... |
Input numeric table is incorrect
| ErrorIncorrectInternalFunctionParameter = ... |
Incorrect parameter in internal function call
| ErrorIncorrectItemInDataCollection = ... |
Incorrect item in data collection
| ErrorIncorrectKernelSise1 = ... |
Convolution2d bakward: incorrect parameter kernelSize1
| ErrorIncorrectKernelSise2 = ... |
Convolution2d bakward: incorrect parameter kernelSize2
| ErrorIncorrectNComponents = ... |
Incorrect nComponents parameter: nComponents should be less or equal
| ErrorIncorrectNumberOfArguments = ... |
Number of arguments is incorrect
| ErrorIncorrectNumberOfBetas = ... |
Incorrect number of betas in linear regression model
| ErrorIncorrectNumberOfBetasInReducedModel = ... |
Incorrect number of betas in reduced linear regression model
| ErrorIncorrectNumberOfClasses = ... |
Number of classes provided to classifier is too small
| ErrorIncorrectNumberOfColumns = ... |
Number of columns in numeric table is incorrect
| ErrorIncorrectNumberOfColumnsInInputNumericTable = ... |
Number of columns in input numeric table is incorrect
| ErrorIncorrectNumberOfColumnsInOutputNumericTable = ... |
Number of columns in output numeric table is incorrect
| ErrorIncorrectNumberOfDimensionsInTensor = ... |
Number of dimensions in tensor is incorrect
| ErrorIncorrectNumberOfElementsInInputCollection = ... |
Incorrect number of elements in input collection
| ErrorIncorrectNumberOfElementsInResultCollection = ... |
Incorrect number of elements in result collection
| ErrorIncorrectNumberOfFeatures = ... |
Number of columns in numeric table is incorrect
| ErrorIncorrectNumberOfInputNumericTables = ... |
Incorrect number of input numeric tables
| ErrorIncorrectNumberOfInputNumericTensors = ... |
Incorrect number of elements in input collection
| ErrorIncorrectNumberOfObservations = ... |
Number of rows in numeric table is incorrect
| ErrorIncorrectNumberOfOutputNumericTables = ... |
Incorrect number of output numeric tables
| ErrorIncorrectNumberOfOutputNumericTensors = ... |
Incorrect number of elements in output collection
| ErrorIncorrectNumberOfPartialClusters = ... |
Incorrect number of partial clusters
| ErrorIncorrectNumberOfRows = ... |
Number of rows in numeric table is incorrect
| ErrorIncorrectNumberOfRowsInInputNumericTable = ... |
Number of rows in input numeric table is incorrect
| ErrorIncorrectNumberOfRowsInOutputNumericTable = ... |
Number of rows in output numeric table is incorrect
| ErrorIncorrectOptionalInput = ... |
Incorrect optional input
| ErrorIncorrectOptionalResult = ... |
Incorrect optional result
| ErrorIncorrectParameter = ... |
Incorrect parameter
| ErrorIncorrectSizeOfArray = ... |
Incorrect size of array
| ErrorIncorrectSizeOfDimensionInTensor = ... |
Size of the dimension in input tensor is incorrect
| ErrorIncorrectSizeOfInputNumericTable = ... |
Number of columns or rows in input numeric table is incorrect
| ErrorIncorrectSizeOfLayerData = ... |
Incorrect number of elements in layer data collection
| ErrorIncorrectSizeOfModel = ... |
Incorrect size of model
| ErrorIncorrectSizeOfOutputNumericTable = ... |
Number of columns or rows in output numeric table is incorrect
| ErrorIncorrectTotalNumberOfPartialClusters = ... |
Incorrect total number of partial clusters
| ErrorIncorrectTypeOfInputNumericTable = ... |
Incorrect type of input NumericTable
| ErrorIncorrectTypeOfModel = ... |
Incorrect type of model
| ErrorIncorrectTypeOfNumericTable = ... |
Incorrect type of Numeric Table
| ErrorIncorrectTypeOfOutputNumericTable = ... |
Incorrect type of output NumericTable
| ErrorIncorrectValueInTheNumericTable = ... |
Incorrect value in the numeric table
| ErrorInputCorrelationNotSupportedInOnlineAndDistributed = ... |
Input correlation matrix is not supported in online and distributed
| ErrorInputMatrixHasNonPositiveMinor = ... |
Input matrix has non positive minor
| ErrorInputSigmaMatrixHasIllegalValue = ... |
Input sigma matrix has illegal value
| ErrorInputSigmaMatrixHasNonPositiveMinor = ... |
Input sigma matrix has non positive minor
| ErrorKDBNetworkError = ... |
ErrorKDBNetworkError
| ErrorKDBNoConnection = ... |
ErrorKDBNoConnection
| ErrorKDBServerError = ... |
ErrorKDBServerError
| ErrorKDBTypeUnsupported = ... |
ErrorKDBTypeUnsupported
| ErrorKDBWrongCredentials = ... |
ErrorKDBWrongCredentials
| ErrorKDBWrongTypeOfOutput = ... |
ErrorKDBWrongTypeOfOutput
| ErrorKMeansNumberOfClustersIsTooLarge = ... |
Number of clusters exceeds the number of points
| ErrorLCNinnerConvolution = ... |
Error in convolution 2d layer
| ErrorLeapfrogUnsupported = ... |
Leapfrog method is not supported by generator
| ErrorLinearRegressionInternal = ... |
Linear Regression internal error
| ErrorLinRegXtXInvFailed = ... |
Failed to invert Xt*X matrix
| ErrorLowerBoundGreaterThanOrEqualToUpperBound = ... |
Lower bound parameter greater than or equal to upper bound
| ErrorLowOrderMomentsInternal = ... |
Low Order Moments internal error
| ErrorLzoDataFormat = ... |
Input compressed stream is in wrong format or corrupted
| ErrorLzoDataFormatLessThenHeader = ... |
Size of input compressed stream is less then
| ErrorLzoDataFormatNotFullBlock = ... |
Input compressed stream contains not a whole
| ErrorLzoInternal = ... |
LZO internal error
| ErrorLzoOutputStreamSizeIsNotEnough = ... |
Size of output stream is not enough to start compression
| ErrorMeanAndStandardDeviationComputing = ... |
Computation of mean and standard deviation failed
| ErrorMemoryAllocationFailed = ... |
Memory allocation failed
| ErrorMethodNotImplemented = ... |
Method is not implemented in the present library version
| ErrorMethodNotSupported = ... |
Method not supported by the algorithm
| ErrorMinAndMaxComputing = ... |
Computation of minimum and maximum failed
| ErrorModelNotFullInitialized = ... |
Model is not full initialized
| ErrorMultiClassFailedToComputeTwoClassPrediction = ... |
Failed to compute prediction based on two-class classifier model
| ErrorMultiClassFailedToTrainTwoClassClassifier = ... |
Failed to train a model of two-class classifier
| ErrorMultiClassNullTwoClassTraining = ... |
Null two-class classifier training algorithm is not supported
| ErrorNegativeLearningRate = ... |
Negative learning rate
| ErrorNeuralNetworkLayerCall = ... |
Error in neural network layer call
| ErrorNormEqSystemSolutionFailed = ... |
Failed to solve the system of normal equations
| ErrorNullAuxiliaryAlgorithm = ... |
Null auxiliary algorithm
| ErrorNullAuxiliaryDataCollection = ... |
Null auxiliary data collection
| ErrorNullInitializationProcedure = ... |
Null initialization procedure
| ErrorNullInput = ... |
Input not set
| ErrorNullInputDataCollection = ... |
Null input data collection is not supported
| ErrorNullInputNumericTable = ... |
Null input numeric table is not supported
| ErrorNullLayerData = ... |
Null layer data is not supported
| ErrorNullModel = ... |
Null model is not supported
| ErrorNullNumericTable = ... |
Null numeric table is not supported
| ErrorNullOptionalResult = ... |
Null optional result
| ErrorNullOutputDataCollection = ... |
Null output data collection is not supported
| ErrorNullOutputNumericTable = ... |
Null output numeric table is not supported
| ErrorNullParameterNotSupported = ... |
Null parameter is not supported by the algorithm
| ErrorNullPartialModel = ... |
Null partial model is not supported
| ErrorNullPartialResult = ... |
Partial result not set
| ErrorNullPartialResultDataCollection = ... |
Null partial result data collection
| ErrorNullPtr = ... |
Null pointer in input arguments
| ErrorNullResult = ... |
Result not set
| ErrorNullTensor = ... |
Null tensor is not supported
| ErrorNullVariance = ... |
Failed to normalize data in column: it has null variance deviation
| ErrorNumericTableAlreadyAllocated = ... |
Numeric Table was already allocated
| ErrorNumericTableIsNotSquare = ... |
Numeric table is not square
| ErrorNumericTableNotAllocated = ... |
Numeric Table is not allocated
| ErrorNumericTableNotAvailable = ... |
Numeric Table is not available
| ErrorObjectDoesNotSupportSerialization = ... |
SerializationIface is not implemented or implemented incorrectly
| ErrorODBC = ... |
ErrorODBC
| ErrorOnFileOpen = ... |
Error on file open
| ErrorOnFileRead = ... |
Error on file read
| ErrorOutlierDetectionInternal = ... |
Outlier Detection internal error
| ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly = ... |
This type of the input data supports
| ErrorPCAFailedToComputeCorrelationEigenvalues = ... |
Failed to compute eigenvalues of the correlation matrix
| ErrorPivotedQRInternal = ... |
Pivoted QR internal error
| ErrorPrecomputedMaxNotAvailable = ... |
Precomputed maximum values are not available
| ErrorPrecomputedMinNotAvailable = ... |
Precomputed minimum values are not available
| ErrorPrecomputedStatisticsIndexOutOfRange = ... |
Precomputed statistics index is out of range
| ErrorPrecomputedSumNotAvailable = ... |
Precomputed sums are not available
| ErrorQRInternal = ... |
QR internal error
| ErrorQrIthParamIllegalValue = ... |
QR internal error
| ErrorQrXBDSQRDidNotConverge = ... |
QR internal error
| ErrorQuantileOrderValueIsInvalid = ... |
Quantile order value is invalid
| ErrorQuantilesInternal = ... |
Quantile internal error
| ErrorRidgeRegressionInternal = ... |
Ridge Regression internal error
| ErrorRidgeRegressionInvertFailed = ... |
Failed to invert matrix
| ErrorRidgeRegressionNormEqSystemSolutionFailed = ... |
Failed to solve the system of normal equations
| ErrorRleDataFormat = ... |
Input compressed stream is in wrong format or corrupted
| ErrorRleDataFormatLessThenHeader = ... |
Size of input compressed stream is less then
| ErrorRleDataFormatNotFullBlock = ... |
Input compressed stream contains not a whole
| ErrorRleInternal = ... |
RLE internal error
| ErrorRleOutputStreamSizeIsNotEnough = ... |
Size of output stream is not enough to start compression
| ErrorServiceMicroTableInternal = ... |
Numeric Table internal error
| ErrorSignificanceLevel = ... |
Incorrect significance level value
| ErrorSkipAheadUnsupported = ... |
SkipAhead method is not supported by generator
| ErrorSorting = ... |
Cannot sort the numeric table
| ErrorSourceDataNotAvailable = ... |
Source data is not available
| ErrorSplitLayerBackward = ... |
Error in split layer backward
| ErrorSQLstmtHandle = ... |
ErrorSQLstmtHandle
| ErrorStumpIncorrectSplitFeature = ... |
Incorrect split feature
| ErrorStumpInvalidInputCategoricalData = ... |
Invalid stump training data: all features in the input table are categorical
| ErrorSvdIthParamIllegalValue = ... |
SVD internal error
| ErrorSvdXBDSQRDidNotConverge = ... |
SVD internal error
| ErrorSVMPredictKernerFunctionCall = ... |
SVM predict: error in kernel function call. Details are as follows.
| ErrorUndefinedFeature = ... |
Dictionary contains a undefined feature
| ErrorUnsupportedCSRIndexing = ... |
CSR Numeric Table has unsupported indexing type
| ErrorUserAllocatedMemory = ... |
Couldn't free memory allocated by user
| ErrorUserCancelled = ... |
Computation cancelled at user's request
| ErrorVarianceComputation = ... |
Error during variance computation
| ErrorZeroNumberOfTerms = ... |
Number of terms can not be zero
| ErrorZlibDataFormat = ... |
Input compressed stream is in wrong format,
| ErrorZlibInternal = ... |
Zlib internal error
| ErrorZlibMemoryAllocationFailed = ... |
Internal Zlib memory allocation failed
| ErrorZlibNeedDictionary = ... |
Specific dictionary is needed for decompression,
| ErrorZlibParameters = ... |
Unsupported Zlib parameters
| ExpectedValue = ... |
Detail about expected value
| Iteration = ... |
Detail about iteration number
| Layer = ... |
Detail about neural network layer
| Method = ... |
Detail about method
| Minor = ... |
Detail about order of matrix minor
|
static |
Multi-threaded mode
| NoErrorMessageDetailFound = ... |
No error message detail found
| NoErrorMessageFound = ... |
No error message found
| OptionalInput = ... |
Detail about optional input name
| OptionalResult = ... |
Detail about optional result name
| ParameterName = ... |
Detail about parameter name
| Rank = ... |
Detail about rank
| Row = ... |
Detail about row
| SerializationTag = ... |
Detail about serialization tag
|
static |
Single-threaded mode
| sse2 = ... |
Intel(R) Streaming SIMD Extensions 2 (Intel(R) SSE2)
| sse42 = ... |
Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2)
| ssse3 = ... |
Supplemental Streaming SIMD Extensions 3 (SSSE3)
| StatisticsName = ... |
Detail about statistics name function
| UnknownError = ... |
Unknown error
For more complete information about compiler optimizations, see our Optimization Notice.