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

Fields in org.apache.ignite.ml.nn declared as MultilayerPerceptron

Modifier and Type	Field and Description
protected MultilayerPerceptron	MultilayerPerceptron.below MLP which is 'below' this MLP (i.e. below output goes to this MLP as input).

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) Trains new model taken previous one as a first approximation.

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) Trains new model taken previous one as a first approximation.

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.

Constructors in org.apache.ignite.ml.nn with parameters of type MultilayerPerceptron

Constructor and Description
MultilayerPerceptron(MultilayerPerceptron above, MultilayerPerceptron below) Create MLP from two MLPs: first stacked on second.

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.