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

Packages that use UpdatesStrategy

Package	Description
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.regressions.linear	Contains various linear regressions.
org.apache.ignite.ml.regressions.logistic.binomial	Contains binomial logistic regression.
org.apache.ignite.ml.regressions.logistic.multiclass	Contains multi-class logistic regression.

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

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

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 UpdatesStrategy

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 UpdatesStrategy

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 UpdatesStrategy in org.apache.ignite.ml.regressions.linear

Methods in org.apache.ignite.ml.regressions.linear that return UpdatesStrategy

Modifier and Type	Method and Description
UpdatesStrategy<? super MultilayerPerceptron,P>	LinearRegressionSGDTrainer.getUpdatesStgy() Get the update strategy.

Constructors in org.apache.ignite.ml.regressions.linear with parameters of type UpdatesStrategy

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.

Uses of UpdatesStrategy in org.apache.ignite.ml.regressions.logistic.binomial

Methods in org.apache.ignite.ml.regressions.logistic.binomial that return UpdatesStrategy

Modifier and Type	Method and Description
UpdatesStrategy	LogisticRegressionSGDTrainer.getUpdatesStgy() Get the update strategy.

Methods in org.apache.ignite.ml.regressions.logistic.binomial with parameters of type UpdatesStrategy

Modifier and Type	Method and Description
LogisticRegressionSGDTrainer	LogisticRegressionSGDTrainer.withUpdatesStgy(UpdatesStrategy updatesStgy) Set up the regularization parameter.

Uses of UpdatesStrategy in org.apache.ignite.ml.regressions.logistic.multiclass

Methods in org.apache.ignite.ml.regressions.logistic.multiclass that return UpdatesStrategy

Modifier and Type	Method and Description
UpdatesStrategy	LogRegressionMultiClassTrainer.getUpdatesStgy() Get the update strategy.

Methods in org.apache.ignite.ml.regressions.logistic.multiclass with parameters of type UpdatesStrategy

Modifier and Type	Method and Description
LogRegressionMultiClassTrainer	LogRegressionMultiClassTrainer.withUpdatesStgy(UpdatesStrategy updatesStgy) Set up the updates strategy.