## Uses of Class
org.apache.ignite.ml.nn.MultilayerPerceptron

- Packages that use MultilayerPerceptron
  Package | Description
  --- | ---
  org.apache.ignite.ml.nn | Contains neural networks and related classes.
  org.apache.ignite.ml.regressions.linear | Contains various linear regressions.

- - ### Uses of MultilayerPerceptron in org.apache.ignite.ml.nn

    Methods in org.apache.ignite.ml.nn that return MultilayerPerceptron
    Modifier and Type | Method and Description
    --- | ---
    `MultilayerPerceptron` | MultilayerPerceptron.`add(MultilayerPerceptron above)` Create MLP where this MLP output is fed as input to added MLP.
    `<K,V> MultilayerPerceptron` | MLPTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `MultilayerPerceptron` | MultilayerPerceptron.`setBias(int layerIdx, int neuronIdx, double val)` Set the bias of given neuron in given layer.
    `MultilayerPerceptron` | MultilayerPerceptron.`setBiases(int layerIdx, Vector bias)` Sets the biases of layer with a given index.
    `MultilayerPerceptron` | MultilayerPerceptron.`setParameters(Vector vector)` Set parameters.
    `MultilayerPerceptron` | MultilayerPerceptron.`setWeight(int layerIdx, int fromNeuron, int toNeuron, double val)` Set the weight of neuron with given index in previous layer to neuron with given index in given layer.
    `MultilayerPerceptron` | MultilayerPerceptron.`setWeights(int layerIdx, Matrix weights)` Sets the weighs of layer with a given index.
    `protected <K,V> MultilayerPerceptron` | MLPTrainer.`updateModel(MultilayerPerceptron lastLearnedMdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Methods in org.apache.ignite.ml.nn that return types with arguments of type MultilayerPerceptron
    Modifier and Type | Method and Description
    --- | ---
    `UpdatesStrategy<? super MultilayerPerceptron,P>` | MLPTrainer.`getUpdatesStgy()` Get the update strategy that defines how to update model parameters during the training.

    Methods in org.apache.ignite.ml.nn with parameters of type MultilayerPerceptron
    Modifier and Type | Method and Description
    --- | ---
    `MultilayerPerceptron` | MultilayerPerceptron.`add(MultilayerPerceptron above)` Create MLP where this MLP output is fed as input to added MLP.
    `boolean` | MLPTrainer.`isUpdateable(MultilayerPerceptron mdl)`
    `protected <K,V> MultilayerPerceptron` | MLPTrainer.`updateModel(MultilayerPerceptron lastLearnedMdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Method parameters in org.apache.ignite.ml.nn with type arguments of type MultilayerPerceptron
    Modifier and Type | Method and Description
    --- | ---
    `MLPTrainer<P>` | MLPTrainer.`withUpdatesStgy(UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy)` Set up the update strategy that defines how to update model parameters during the training.

    Constructor parameters in org.apache.ignite.ml.nn with type arguments of type MultilayerPerceptron
    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.
    `MLPTrainer(MLPArchitecture arch, 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.

  - ### Uses of MultilayerPerceptron in org.apache.ignite.ml.regressions.linear

    Methods in org.apache.ignite.ml.regressions.linear that return types with arguments of type MultilayerPerceptron
    Modifier and Type | Method and Description
    --- | ---
    `UpdatesStrategy<? super MultilayerPerceptron,P>` | LinearRegressionSGDTrainer.`getUpdatesStgy()` Get the update strategy.

    Constructor parameters in org.apache.ignite.ml.regressions.linear with type arguments of type MultilayerPerceptron
    Constructor and Description
    `LinearRegressionSGDTrainer(UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy)` Constructs a new instance of linear regression SGD trainer.
    `LinearRegressionSGDTrainer(UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy, int maxIterations, int batchSize, int locIterations, long seed)` Constructs a new instance of linear regression SGD trainer.

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