## 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.

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