Index

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D

DataLoader - Class in com.jml.core

The DataLoader class contains several methods to load data for models.

DataSplitter - Class in com.jml.preprocessing

A class that provides a method for splitting a dataset into a training and testing dataset.

DEGREE - Enum constant in enum class com.jml.linear_models.LinearModelTags

Dense - Class in com.jml.neural_network.layers

A fully connected layer with an activation function.

Dense(int, int, ActivationFunction) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.

Dense(int, int, ActivationFunction, Initializer) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.

Dense(int, int, ActivationFunction, Initializer, Initializer) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.

Dense(int, ActivationFunction) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.
NOTE: this constructor infers the input dimension from the previous layer in the network.

Dense(int, ActivationFunction, Initializer) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.
NOTE: this constructor infers the input dimension from the previous layer in the network.

Dense(int, ActivationFunction, Initializer, Initializer) - Constructor for class com.jml.neural_network.layers.Dense

Creates a Linear layer with specified input and output dimensions.
NOTE: this constructor infers the input dimension from the previous layer in the network.

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

Computes the r² value or correlation between two sets of data.

DIMENSIONS - Enum constant in enum class com.jml.neural_network.ModelTags

Dropout - Class in com.jml.neural_network.layers

A dropout layer.

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

Constructs a dropout layer for a neural network.
Note: this constructor infers the input dimension from the previous layer in the network.

Dropout(int, double) - Constructor for class com.jml.neural_network.layers.Dropout

Constructs a dropout layer for a neural network.

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