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I

init(int, int) - Method in class com.jml.neural_network.layers.initilizers.Constant
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.GlorotNormal
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.GlorotUniform
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.HeNormal
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.HeUniform
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in interface com.jml.neural_network.layers.initilizers.Initializer
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.Ones
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.Orthogonal
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.RandomNormal
Creates and initializes a matrix with entries from a Random Normal Distribution.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.RandomUniform
Initializes values of a weight/bias matrix as specified by this initializer.
init(int, int) - Method in class com.jml.neural_network.layers.initilizers.Zeros
Initialized values of a weight/bias matrix.
Initializer - Interface in com.jml.neural_network.layers.initilizers
Interface for bias/weight initialization.
inOrder() - Method in class com.jml.classifiers.KDTree
Traverses this K-d tree in order.
insert(double[]) - Method in class com.jml.classifiers.KDTree
Inserts a point into this K-d tree.
inspect() - Method in class com.jml.classifiers.KNearestNeighbors
Forms a string of the important aspects of the model.
same as KNearestNeighbors.toString()
inspect() - Method in class com.jml.classifiers.LogisticRegression
Forms a string of the important aspects of the model.
same as LogisticRegression.toString()
inspect() - Method in class com.jml.core.Model
Forms a string of the important aspects of the model.
same as Model.toString()
inspect() - Method in class com.jml.linear_models.LinearRegression
Forms a string of the important aspects of the model.
same as LinearRegression.toString()
inspect() - Method in class com.jml.linear_models.MultipleLinearRegression
Forms a string of the important aspects of the model.
same as MultipleLinearRegression.toString()
inspect() - Method in class com.jml.linear_models.Perceptron
Forms a string of the important aspects of the model.
same as Model.toString()
inspect() - Method in class com.jml.linear_models.PolynomialRegression
Forms a string of the important aspects of the model.
same as PolynomialRegression.toString()
inspect() - Method in interface com.jml.neural_network.layers.BaseLayer
Gets and formats details of this layer in a human-readable String.
inspect() - Method in class com.jml.neural_network.layers.Dense
Gets and formats details of this layer in a human-readable String.
inspect() - Method in class com.jml.neural_network.layers.Dropout
Gets the details of this layer as a String.
inspect() - Method in class com.jml.neural_network.layers.Linear
Gets and formats details of this layer in a human-readable String.
inspect() - Method in class com.jml.neural_network.NeuralNetwork
Forms a string of the important aspects of the model which are needed to recreate the model.
same as NeuralNetwork.toString()
isNonNegative(double) - Static method in class com.jml.util.ValueError
Checks if a value is non-negative
isPositive(double) - Static method in class com.jml.util.ValueError
Checks if a value is positive
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All Classes|All Packages|Constant Field Values