Index

A C D E F G I L M N O P R S T Z
All Classes and Interfaces|All Packages

A

ActivationFunction - Interface in org.numpy4j.activations: Represents an activation function applied to an NDArray.
Activations - Class in org.numpy4j.activations: Collection of common activation functions used in neural networks.
add(NDArray) - Method in class org.numpy4j.core.NDArray: Adds another NDArray to this one element-wise, applying NumPy-style broadcasting if necessary.
apply(NDArray) - Method in interface org.numpy4j.activations.ActivationFunction: Applies the activation function to the given NDArray.
arange(double, double, double) - Static method in class org.numpy4j.api.Numpy: Creates a one-dimensional NDArray containing evenly spaced values within a specified interval.
array(double[], int...) - Static method in class org.numpy4j.api.Numpy: Creates a new NDArray from an existing one-dimensional Java array and a specified shape.

C

copy(NDArray) - Static method in class org.numpy4j.api.Numpy: Creates a deep copy of the given NDArray.

D

det(NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Computes the determinant of a square matrix using recursive Laplace expansion.
divide(NDArray) - Method in class org.numpy4j.core.NDArray: Divides this NDArray by another element-wise, applying NumPy-style broadcasting if necessary.
dot(NDArray) - Method in class org.numpy4j.core.NDArray: Computes the matrix dot product between this array and another.
dot(NDArray, NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Computes the dot product (inner product) of two 1D vectors.

E

empty(int...) - Static method in class org.numpy4j.api.Numpy: Creates a new NDArray of the specified shape with uninitialized (random) values.
exp(NDArray) - Static method in class org.numpy4j.api.Numpy: Element-wise exponential of all elements in the input NDArray.
eye(int) - Static method in class org.numpy4j.api.Numpy: Creates a two-dimensional identity matrix of size n × n.

F

fft(double[], double[]) - Static method in class org.numpy4j.fft.FFT
FFT - Class in org.numpy4j.fft
FFT() - Constructor for class org.numpy4j.fft.FFT
fit(NDArray, NDArray, int, double) - Method in class org.numpy4j.ml.LogisticRegression: Trains the model using batch gradient descent.
flatten(NDArray) - Static method in class org.numpy4j.api.Numpy: Flattens the input NDArray to a one-dimensional array.
full(double, int...) - Static method in class org.numpy4j.api.Numpy: Creates a new NDArray of the specified shape filled with a given constant value.

G

get(int...) - Method in class org.numpy4j.core.NDArray: Returns the element at the specified indices.
getBias() - Method in class org.numpy4j.ml.LogisticRegression: Returns the bias term.
getData() - Method in class org.numpy4j.core.NDArray: Returns the data (dimensions) of this NDArray.
getNdims() - Method in class org.numpy4j.core.NDArray: Returns the number of dimensions (like NumPy's ndarray.ndim)
getRow(int) - Method in class org.numpy4j.core.NDArray
getShape() - Method in class org.numpy4j.core.NDArray: Returns the shape (dimensions) of this NDArray.
getSize() - Method in class org.numpy4j.core.NDArray: Returns the number of elements in the array (like NumPy's ndarray.size)
getWeights() - Method in class org.numpy4j.ml.LogisticRegression: Returns the learned weights.

I

inv(NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Computes the inverse of a square matrix using Gaussian elimination.

L

like(double[]) - Method in class org.numpy4j.core.NDArray: Creates a new NDArray with the same structural metadata (shape, layout) as this array, backed by the provided data buffer.
LinearAlgebra - Class in org.numpy4j.linalg: A utility class providing core linear algebra operations on NDArray objects, including vector and matrix computations such as dot products, matrix multiplication, transposition, norms, determinants, inverses, and identity matrix creation.
LinearAlgebra() - Constructor for class org.numpy4j.linalg.LinearAlgebra
linspace(double, double, int) - Static method in class org.numpy4j.api.Numpy: Generates a one-dimensional NDArray of evenly spaced numbers over a specified interval.
LogisticRegression - Class in org.numpy4j.ml: Binary Logistic Regression implemented using numpy4j NDArray.
LogisticRegression(int) - Constructor for class org.numpy4j.ml.LogisticRegression: Creates a Logistic Regression model.

M

map(DoubleUnaryOperator) - Method in class org.numpy4j.core.NDArray: Applies the given unary function to each element of this NDArray.
matmul(NDArray, NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Performs matrix multiplication between two 2D matrices:
mean() - Method in class org.numpy4j.core.NDArray: Computes the mean (average) of all elements in the NDArray.
mean(NDArray) - Static method in class org.numpy4j.api.Numpy: Compute the mean (average) of all elements in the input NDArray.
multiply(NDArray) - Method in class org.numpy4j.core.NDArray: Multiplies this NDArray with another element-wise, applying NumPy-style broadcasting if necessary.

N

NDArray - Class in org.numpy4j.core: A lightweight, high-performance Java implementation of a multidimensional array, inspired by Python's NumPy ndarray.
NDArray(double[], int...) - Constructor for class org.numpy4j.core.NDArray
NDArray(int...) - Constructor for class org.numpy4j.core.NDArray
nextGaussian() - Static method in class org.numpy4j.random.RandomUtils
nextUniform(double, double) - Static method in class org.numpy4j.random.RandomUtils
norm(NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Computes the Euclidean (L2) norm of a vector:
Numpy - Class in org.numpy4j.api
Numpy() - Constructor for class org.numpy4j.api.Numpy

O

of(double[], int...) - Static method in class org.numpy4j.core.NDArray
ones(int...) - Static method in class org.numpy4j.api.Numpy: Creates a new NDArray of the specified shape filled with ones.
org.numpy4j.activations - package org.numpy4j.activations
org.numpy4j.api - package org.numpy4j.api
org.numpy4j.core - package org.numpy4j.core
org.numpy4j.fft - package org.numpy4j.fft
org.numpy4j.linalg - package org.numpy4j.linalg
org.numpy4j.ml - package org.numpy4j.ml
org.numpy4j.random - package org.numpy4j.random

P

power(int) - Method in class org.numpy4j.core.NDArray: Raises each element to the given power.
predict(NDArray) - Method in class org.numpy4j.ml.LogisticRegression: Predicts binary class labels using a threshold of 0.5.
predictProba(NDArray) - Method in class org.numpy4j.ml.LogisticRegression: Computes predicted probabilities using the sigmoid function.

R

random(int...) - Static method in class org.numpy4j.api.Numpy: Generate an NDArray of random values uniformly distributed in [0, 1).
random(int...) - Static method in class org.numpy4j.core.NDArray: Creates an NDArray with the given shape, filled with random values uniformly distributed between 0 (inclusive) and 1 (exclusive).
RandomUtils - Class in org.numpy4j.random
RandomUtils() - Constructor for class org.numpy4j.random.RandomUtils
ravel(NDArray) - Static method in class org.numpy4j.api.Numpy: Alias for Numpy.flatten(NDArray).
relu(NDArray) - Static method in class org.numpy4j.activations.Activations: Applies the Rectified Linear Unit (ReLU) activation function.
reshape(int...) - Method in class org.numpy4j.core.NDArray: Returns a new NDArray with the same data but a different shape.
reshape(NDArray, int...) - Static method in class org.numpy4j.api.Numpy: Reshapes the input NDArray to the specified new shape.

S

set(double, int...) - Method in class org.numpy4j.core.NDArray: Sets the element at the specified indices to the given value.
sigmoid(NDArray) - Static method in class org.numpy4j.activations.Activations: Applies the sigmoid (logistic) activation function.
slice(int[][]) - Method in class org.numpy4j.core.NDArray: Extracts a subarray (slice) from this NDArray, similar to numpy[:, :] slicing in Python.
softmax(NDArray) - Static method in class org.numpy4j.activations.Activations: Applies the softmax activation function.
subtract(NDArray) - Method in class org.numpy4j.core.NDArray: Subtracts another NDArray from this one element-wise, applying NumPy-style broadcasting if necessary.
sum() - Method in class org.numpy4j.core.NDArray: Computes the sum of all elements in the NDArray.

T

tanh(NDArray) - Static method in class org.numpy4j.activations.Activations: Applies the hyperbolic tangent (tanh) activation function.
toString() - Method in class org.numpy4j.core.NDArray
transpose(NDArray) - Static method in class org.numpy4j.linalg.LinearAlgebra: Returns the transpose of a 2D matrix.

Z

zeros(int...) - Static method in class org.numpy4j.api.Numpy: Creates a new NDArray of the specified shape filled with zeros.
zeros(int...) - Static method in class org.numpy4j.core.NDArray: Creates an NDArray with the given shape, filled with zeros.

A C D E F G I L M N O P R S T Z
All Classes and Interfaces|All Packages