Python* Language Application Programming Interface Reference for Intel® Data Analytics Acceleration Library
Modules
Data Compression
Data Dictionaries
Data Sources
Classes
Class List
daal
algorithms
adaboost
prediction
quality_metric_set
training
bacon_outlier_detection
brownboost
prediction
quality_metric_set
training
cholesky
classifier
prediction
quality_metric
binary_confusion_matrix
training
correlation_distance
cosine_distance
decision_forest
classification
prediction
training
regression
prediction
training
distributions
bernoulli
normal
uniform
engines
gbt
classification
prediction
training
regression
prediction
training
implicit_als
kdtree_knn_classification
prediction
training
kernel_function
linear
rbf
kmeans
init
linear_model
prediction
training
linear_regression
prediction
quality_metric
group_of_betas
single_beta
quality_metric_set
logistic_regression
prediction
training
logitboost
prediction
quality_metric_set
training
math
abs
logistic
relu
smoothrelu
softmax
multivariate_outlier_detection
neural_networks
initializers
gaussian
truncated_gaussian
uniform
xavier
layers
average_pooling1d
backward
forward
average_pooling2d
backward
forward
average_pooling3d
backward
forward
maximum_pooling1d
backward
forward
maximum_pooling2d
backward
forward
maximum_pooling3d
backward
forward
pooling1d
forward
pooling2d
forward
pooling3d
forward
spatial_average_pooling2d
backward
forward
spatial_maximum_pooling2d
backward
forward
spatial_pooling2d
forward
spatial_stochastic_pooling2d
backward
forward
stochastic_pooling2d
backward
forward
normalization
minmax
zscore
optimization_solver
cross_entropy_loss
iterative_solver
logistic_loss
mse
objective_function
sgd
sum_of_functions
pivoted_qr
quality_metric_set
quantiles
regression
prediction
training
sorting
univariate_outlier_detection
weak_learner
data_management
Class Hierarchy
Argument