Index

A B C D E F G H I K L M N O P R S T U V W Z
All Classes|All Packages|Constant Field Values

C

checkNotEmpty(double[]) - Static method in class com.jml.util.ArrayErrors

Checks to see if array is empty.

checkSameLength(double[], double[]) - Static method in class com.jml.util.ArrayErrors

Checks to see if two arrays have the same number of entries

CLASSES - Enum constant in enum class com.jml.classifiers.ClassifierTags

ClassifierTags - Enum Class in com.jml.classifiers

com.jml.classifiers - package com.jml.classifiers

This package contains several models used for classification.

Classifiers:

com.jml.core - package com.jml.core

This package contains the core components of the JML library.

com.jml.linear_models - package com.jml.linear_models

This package contains several linear models that can be fit to a dataset.

Linear Models:

com.jml.losses - package com.jml.losses

A package containing loss functions.

com.jml.neural_network - package com.jml.neural_network

A package containing a neural network model, layers for neural networks, and activation functions.

com.jml.neural_network.activations - package com.jml.neural_network.activations

A package containing several activation functions useful for neural networks.

com.jml.neural_network.layers - package com.jml.neural_network.layers

A package containing layers for use in neural networks.

com.jml.neural_network.layers.initilizers - package com.jml.neural_network.layers.initilizers

A package containing an interface for specifying a layer parameter initializer.

com.jml.optimizers - package com.jml.optimizers

This package contains optimizers useful for estimating the minimum of a function.

com.jml.preprocessing - package com.jml.preprocessing

This package contains classes useful for pre-processing data.

com.jml.util - package com.jml.util

Contains utility classes for the JML library.

compute(Matrix, Matrix) - Method in interface com.jml.losses.Function

Evaluates a loss function which takes features and targets for a model and weights as parameters.

Constant - Class in com.jml.neural_network.layers.initilizers

layer parameter initializer to produce a constant value.

Constant() - Constructor for class com.jml.neural_network.layers.initilizers.Constant

Creates a Constant Initializer with value 1.

Constant(double) - Constructor for class com.jml.neural_network.layers.initilizers.Constant

Creates a Constant Initializer with specified value.

correlation(double[], double[]) - Static method in class com.jml.core.Stats

Computes the r value or determination between two sets of data.

crossEntropy - Static variable in class com.jml.losses.LossFunctions

the cross-entropy loss function.

A B C D E F G H I K L M N O P R S T U V W Z
All Classes|All Packages|Constant Field Values