Uses of Interface
org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction

Packages that use IgniteDifferentiableVectorToDoubleFunction

Package	Description
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.optimization	Contains implementations of optimization algorithms and related classes.
org.apache.ignite.ml.optimization.updatecalculators	Contains update calculators.

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

Methods in org.apache.ignite.ml.nn that return types with arguments of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Method and Description
IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	MLPTrainer.getLoss() Get the loss function to be minimized during the training.

Method parameters in org.apache.ignite.ml.nn with type arguments of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Method and Description
Vector	MultilayerPerceptron.differentiateByParameters(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss, Matrix inputsBatch, Matrix truthBatch) Compose function in the following way: feed output of this model as input to second argument to loss function.
MLPTrainer<P>	MLPTrainer.withLoss(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Set up the loss function to be minimized during the training.

Constructor parameters in org.apache.ignite.ml.nn with type arguments of type IgniteDifferentiableVectorToDoubleFunction

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 IgniteDifferentiableVectorToDoubleFunction in org.apache.ignite.ml.optimization

Fields in org.apache.ignite.ml.optimization with type parameters of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Field and Description
static IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	LossFunctions.HINGE Hinge loss function.
static IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	LossFunctions.L1 L1 loss function.
static IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	LossFunctions.L2 L2 loss function.
static IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	LossFunctions.LOG Log loss function.
static IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	LossFunctions.MSE Mean squared error loss function.

Method parameters in org.apache.ignite.ml.optimization with type arguments of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Method and Description
Vector	SmoothParametrized.differentiateByParameters(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss, Matrix inputsBatch, Matrix truthBatch) Compose function in the following way: feed output of this model as input to second argument to loss function.

Uses of IgniteDifferentiableVectorToDoubleFunction in org.apache.ignite.ml.optimization.updatecalculators

Fields in org.apache.ignite.ml.optimization.updatecalculators with type parameters of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Field and Description
protected IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	RPropUpdateCalculator.loss Loss function.
protected IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>	SimpleGDUpdateCalculator.loss Loss function.

Method parameters in org.apache.ignite.ml.optimization.updatecalculators with type arguments of type IgniteDifferentiableVectorToDoubleFunction

Modifier and Type	Method and Description
P	ParameterUpdateCalculator.init(M mdl, IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Initializes the update calculator.
NesterovParameterUpdate	NesterovUpdateCalculator.init(M mdl, IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Initializes the update calculator.
RPropParameterUpdate	RPropUpdateCalculator.init(SmoothParametrized mdl, IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Initializes the update calculator.
SimpleGDParameterUpdate	SimpleGDUpdateCalculator.init(SmoothParametrized mdl, IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss) Initializes the update calculator.