Index

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All Classes|All Packages|Constant Field Values

F

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

FileManager - Class in com.jml.util

fit(double[][], double[]) - Method in class com.jml.classifiers.LogisticRegression

Fits or trains the model with the given features and targets.

fit(double[][], double[]) - Method in class com.jml.linear_models.MultipleLinearRegression

Fits or trains the model with the given features and targets.

fit(double[][], double[]) - Method in class com.jml.linear_models.MultipleLinearRegressionSGD

Fits or trains the model with the given features and targets.

fit(double[][], double[][]) - Method in class com.jml.linear_models.Perceptron

Fits or trains the model with the given features and targets.

fit(double[][], double[][]) - Method in class com.jml.neural_network.NeuralNetwork

Fits or trains the model with the given features and targets.

fit(double[][], int[]) - Method in class com.jml.classifiers.KNearestNeighbors

Fits or trains the model with the given features and targets.

fit(double[], double[]) - Method in class com.jml.linear_models.LinearRegression

Fits or trains the model with the given features and targets.

fit(double[], double[]) - Method in class com.jml.linear_models.LinearRegressionSGD

Fits or trains the model with the given features and targets.

fit(double[], double[]) - Method in class com.jml.linear_models.PolynomialRegression

Fits or trains the model with the given features and targets.

fit(double[], double[]) - Method in class com.jml.linear_models.PolynomialRegressionSGD

Fits or trains the model with the given features and targets.

fit(X, Y) - Method in class com.jml.core.Model

Fits or trains the model with the given features and targets.

forward(Matrix) - Method in interface com.jml.neural_network.activations.ActivationFunction

Applies the forward pass of activation function to a matrix.

forward(Matrix) - Method in class com.jml.neural_network.activations.Linear

Applies the activation function, element-wise, to a matrix.

forward(Matrix) - Method in class com.jml.neural_network.activations.Relu

Applies the ReLU activation function to a matrix element-wise.

forward(Matrix) - Method in class com.jml.neural_network.activations.Sigmoid

Applies the sigmoid activation element-wise to a matrix.

forward(Matrix) - Method in class com.jml.neural_network.activations.Softmax

Applies the activation function, element-wise, to a matrix.

forward(Matrix) - Method in class com.jml.neural_network.activations.Tanh

Applies the activation function, element-wise, to a matrix.

forward(Matrix) - Method in interface com.jml.neural_network.layers.BaseLayer

Computes forward pass for layer.

forward(Matrix) - Method in class com.jml.neural_network.layers.Dense

Computes the forward pass of this layer.

forward(Matrix) - Method in class com.jml.neural_network.layers.Dropout

Feeds the inputs through the layer.

forward(Matrix) - Method in class com.jml.neural_network.layers.Linear

Computes forward pass for layer.

Function - Interface in com.jml.losses

Functional Interface for a loss function.

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