Uses of Class
org.apache.ignite.ml.nn.MLPTrainer

Packages that use MLPTrainer

Package	Description
org.apache.ignite.ml.nn	Contains neural networks and related classes.

Uses of MLPTrainer in org.apache.ignite.ml.nn

Methods in org.apache.ignite.ml.nn that return MLPTrainer

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.
MLPTrainer<P>	MLPTrainer.withBatchSize(int batchSize) Set up the batch size (per every partition).
MLPTrainer<P>	MLPTrainer.withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder) Changes learning Environment.
MLPTrainer<P>	MLPTrainer.withLocIterations(int locIterations) Set up the maximal number of local iterations before synchronization.
MLPTrainer<P>	MLPTrainer.withLoss(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Set up the loss function to be minimized during the training.
MLPTrainer<P>	MLPTrainer.withMaxIterations(int maxIterations) Set up the maximal number of iterations before the training will be stopped.
MLPTrainer<P>	MLPTrainer.withSeed(long seed) Set up the multilayer perceptron model initializer.
MLPTrainer<P>	MLPTrainer.withUpdatesStgy(UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy) Set up the update strategy that defines how to update model parameters during the training.