Package | Description |
---|---|
org.apache.ignite.ml.dataset.primitive |
Package that contains basic primitives build on top of
Dataset . |
org.apache.ignite.ml.dataset.primitive.builder.data |
Contains partition
data builders. |
org.apache.ignite.ml.math.isolve.lsqr |
Contains LSQR algorithm implementation.
|
org.apache.ignite.ml.nn |
Contains neural networks and related classes.
|
Constructor and Description |
---|
SimpleLabeledDataset(Dataset<C,SimpleLabeledDatasetData> delegate)
Creates a new instance of simple labeled dataset that introduces additional methods based on a matrix of features
and labels vector.
|
Modifier and Type | Method and Description |
---|---|
SimpleLabeledDatasetData |
SimpleLabeledDatasetDataBuilder.build(LearningEnvironment env,
Iterator<UpstreamEntry<K,V>> upstreamData,
long upstreamDataSize,
C ctx)
Builds a new partition
data from a partition upstream data and partition context . |
Constructor and Description |
---|
LSQROnHeap(DatasetBuilder<K,V> datasetBuilder,
LearningEnvironmentBuilder envBuilder,
PartitionDataBuilder<K,V,LSQRPartitionContext,SimpleLabeledDatasetData> partDataBuilder,
LearningEnvironment localLearningEnv)
Constructs a new instance of OnHeap LSQR algorithm implementation.
|
Modifier and Type | Method and Description |
---|---|
IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture> |
MLPTrainer.getArchSupplier()
Get the multilayer perceptron architecture supplier that defines layers and activators.
|
Modifier and Type | Method and Description |
---|---|
MLPTrainer<P> |
MLPTrainer.withArchSupplier(IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture> archSupplier)
Set up the multilayer perceptron architecture supplier that defines layers and activators.
|
Constructor and Description |
---|
MLPTrainer(IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture> archSupplier,
IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss,
UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy,
int maxIterations,
int batchSize,
int locIterations,
long seed)
Constructs a new instance of multilayer perceptron trainer.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024