Index

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T

tanh - Static variable in class com.jml.neural_network.activations.Activations

A pre-defined instance of the hyperbolic tangent activation function.

tanh() - Static method in class com.jml.neural_network.activations.Activations

Creates and returns a new instance of the hyperbolic tangent activation function.

Tanh - Class in com.jml.neural_network.activations

The hyperbolic tangent activation function.

Tanh() - Constructor for class com.jml.neural_network.activations.Tanh

toDouble(String[]) - Static method in class com.jml.util.ArrayUtils

Converts a String array to an array of doubles.
Also see ArrayUtils.toDouble(String[][]) for 2D arrays.

toDouble(String[][]) - Static method in class com.jml.util.ArrayUtils

Converts a String array to an array of doubles.
Also see ArrayUtils.toDouble(String[]) for 1D arrays.

toDoubleFlat(String[][]) - Static method in class com.jml.util.ArrayUtils

Converts a String array to an 1D array of doubles.
Also see ArrayUtils.toDouble(String[]) for 1D arrays.

toInt(double[]) - Static method in class com.jml.util.ArrayUtils

Converts a double array to an int array.

toIntFlat(String[][]) - Static method in class com.jml.util.ArrayUtils

Converts a String array to an 1D array of doubles.
Also see ArrayUtils.toDouble(String[]) for 1D arrays.

toObject(Object) - Static method in class com.jml.util.ArrayUtils

Converts an array to an Object array.

toObject2D(Object) - Static method in class com.jml.util.ArrayUtils

Converts an array to an Object array.

toString() - Method in class com.jml.classifiers.KNearestNeighbors

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.classifiers.LogisticRegression

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.core.Model

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.linear_models.LinearRegression

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.linear_models.MultipleLinearRegression

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.linear_models.Perceptron

Forms a string of the important aspects of the model.

toString() - Method in class com.jml.linear_models.PolynomialRegression

Forms a string of the important aspects of the model.

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

Gets the name of the layer type as a string.

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

Gets the name of the layer type as a string.

toString() - Method in class com.jml.neural_network.NeuralNetwork

Forms a string of the important aspects of the model.

TrainableLayer - Interface in com.jml.neural_network.layers

This layer specifies functionality for a layer that has trainable parameters.

trainTestSplit(double[][], double[][], double) - Static method in class com.jml.preprocessing.DataSplitter

Splits a dataset with features and targets randomly into disjoint training and testing datasets.

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

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