A B C D E F G I J L M N P R S T W
All Classes All Packages

A

abs(NumpyArray<Double>) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Calculate the absolute value element-wise.

add(NumpyArray, byte) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a byte value to numpy arrays.

add(NumpyArray, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a double value to numpy arrays.

add(NumpyArray, float) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a float value to numpy arrays.

add(NumpyArray, int) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a int value to numpy arrays.

add(NumpyArray, long) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a long value to numpy arrays.

add(NumpyArray, short) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds a short value to numpy arrays.

add(NumpyArray, NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Adds two numpy arrays.

addCounter(int[], int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

The numpy array could be multidimensional.

ai.sklearn4j.base - package ai.sklearn4j.base

ai.sklearn4j.core - package ai.sklearn4j.core

ai.sklearn4j.core.libraries - package ai.sklearn4j.core.libraries

ai.sklearn4j.core.libraries.numpy - package ai.sklearn4j.core.libraries.numpy

ai.sklearn4j.core.libraries.numpy.wrappers - package ai.sklearn4j.core.libraries.numpy.wrappers

ai.sklearn4j.core.packaging - package ai.sklearn4j.core.packaging

ai.sklearn4j.core.packaging.loaders - package ai.sklearn4j.core.packaging.loaders

ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes - package ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

ai.sklearn4j.core.packaging.loaders.preprocessing.data - package ai.sklearn4j.core.packaging.loaders.preprocessing.data

ai.sklearn4j.core.packaging.loaders.preprocessing.label - package ai.sklearn4j.core.packaging.loaders.preprocessing.label

ai.sklearn4j.core.packaging.version_1 - package ai.sklearn4j.core.packaging.version_1

ai.sklearn4j.naive_bayes - package ai.sklearn4j.naive_bayes

ai.sklearn4j.preprocessing.data - package ai.sklearn4j.preprocessing.data

ai.sklearn4j.preprocessing.label - package ai.sklearn4j.preprocessing.label

ai.sklearn4j.utils - package ai.sklearn4j.utils

apply(NumpyArray<InputType>, int, boolean) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayOperationWithAxisReduction

Applies the operation on the numpy array.

apply(Type) - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayElementOperation

The operation to be applied to each element in the NumpyArray.

applyToEachElement(INumpyArrayElementOperation<Type>) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Applies a provided operation on every element of the array and stores it in the same array.

applyToEachElementAnsSaveToTarget(NumpyArray, INumpyArrayElementOperation<Type>) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Applies a provided operation on every element of the array and stores it in a specified target array.

argmax(NumpyArray<Type>, int, boolean) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Returns the indices of the maximum values along an axis.

arrayMax(NumpyArray<Double>, int, boolean) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Returns the maximum values along an axis.

arrayOfDoubleWithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of double with specified shape.

arrayOfFloatWithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of float with specified shape.

arrayOfInt16WithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of short with specified shape.

arrayOfInt32WithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of int with specified shape.

arrayOfInt64WithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of long with specified shape.

arrayOfInt8WithShape(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array of byte with specified shape.

atLeast2D(byte) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic byte value into a 2 dimensional array.

atLeast2D(double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic double value into a 2 dimensional array.

atLeast2D(float) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic float value into a 2 dimensional array.

atLeast2D(int) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic int value into a 2 dimensional array.

atLeast2D(long) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic long value into a 2 dimensional array.

atLeast2D(short) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps an atomic short value into a 2 dimensional array.

atLeast2D(NumpyArray<Type>) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Wraps a numpy array into a 2 dimensional array if the number dimensions is less than 2.

B

BaseNaiveBayes - Class in ai.sklearn4j.naive_bayes

Abstract base class for naive Bayes estimators

BaseNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.BaseNaiveBayes

BaseScikitLearnContentLoader<ObjectType> - Class in ai.sklearn4j.core.packaging.loaders

A base class that implements common functionality shred among the scikit-learn object loaders.

BaseScikitLearnContentLoader(String) - Constructor for class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Instantiate a BaseScikitLearnContentLoader object.

BernoulliNaiveBayes - Class in ai.sklearn4j.naive_bayes

Naive Bayes classifier for bernoulli distributed models.

BernoulliNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

BernoulliNaiveBayesContentLoader - Class in ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

BernoulliNaiveBayes object loader.

BernoulliNaiveBayesContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.BernoulliNaiveBayesContentLoader

Instantiate a new object of BernoulliNaiveBayesContentLoader.

binarizeInput(NumpyArray<Double>, double) - Static method in class ai.sklearn4j.utils.Preprocessings

Binarize a numpy array based on a given threshold.

Binarizer - Class in ai.sklearn4j.preprocessing.data

Binarize data (set feature values to 0 or 1) according to a threshold.

Binarizer() - Constructor for class ai.sklearn4j.preprocessing.data.Binarizer

Instantiate a new object of Binarizer.

BinarizerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

Binarizer object loader.

BinarizerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.BinarizerContentLoader

Instantiate a new object of BinarizerContentLoader.

BinaryModelPackage - Class in ai.sklearn4j.core.packaging

The python package (sklearn4x) implements a class named BinaryBuffer that saves the python objects in a binary format.

C

canRead() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Checks if there is still available content in the input stream.

CategoricalNaiveBayes - Class in ai.sklearn4j.naive_bayes

Naive Bayes classifier for categorical features.

CategoricalNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

CategoricalNaiveBayesContentLoader - Class in ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

CategoricalNaiveBayes object loader.

CategoricalNaiveBayesContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.CategoricalNaiveBayesContentLoader

Instantiate a new object of CategoricalNaiveBayesContentLoader.

classCounts - Variable in class ai.sklearn4j.base.ClassifierMixin

The frequency of each class in the training set.

classes - Variable in class ai.sklearn4j.base.ClassifierMixin

The list of class IDs.

ClassifierMixin - Class in ai.sklearn4j.base

Mixin class for all classifiers in scikit-learn.

ClassifierMixin() - Constructor for class ai.sklearn4j.base.ClassifierMixin

clip(NumpyArray<Double>, double, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Clip (limit) the values in an array.

ComplementNaiveBayes - Class in ai.sklearn4j.naive_bayes

Naive Bayes classifier for complement distributed models.

ComplementNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

ComplementNaiveBayesContentLoader - Class in ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

ComplementNaiveBayes object loader.

ComplementNaiveBayesContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.ComplementNaiveBayesContentLoader

Instantiate a new object of ComplementNaiveBayesContentLoader.

Constants - Class in ai.sklearn4j.core

Constants related to calculations for Classifiers and Regressors

Constants() - Constructor for class ai.sklearn4j.core.Constants

createArrayOfShapeAndTypeInfo(boolean, int, int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Creates a numpy array with a specified shape that can store values with specified characteristics.

createArrayOfShapeAndTypeInfo(NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Creates a numpy array of the same dimension and data type of the provided one.

createInstanceResultNumpyArray(int[]) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayOperationWithAxisReduction

Instantiate the result numpy array.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

An abstract method to initialize a new instance of the scikit-learn object supported by the loader.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.BernoulliNaiveBayesContentLoader

Instantiate an unloaded BernoulliNaiveBayes classifier.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.CategoricalNaiveBayesContentLoader

Instantiate an unloaded CategoricalNaiveBayes classifier.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.ComplementNaiveBayesContentLoader

Instantiate an unloaded ComplementNaiveBayes classifier.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.GaussianNaiveBayesContentLoader

Instantiate an unloaded GaussianNaiveBayes classifier.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.MultinomialNaiveBayesContentLoader

Instantiate an unloaded MultinomialNaiveBayes classifier.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.BinarizerContentLoader

Instantiate an unloaded Binarizer scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MaximumAbsoluteScalerContentLoader

Instantiate an unloaded MaximumAbsoluteScaler scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MinimumMaximumScalerContentLoader

Instantiate an unloaded MinimumMaximumScaler scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.NormalizerContentLoader

Instantiate an unloaded Normalizer scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.RobustScalerContentLoader

Instantiate an unloaded RobustScaler scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.StandardScalerContentLoader

Instantiate an unloaded StandardScaler scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelBinarizerContentLoader

Instantiate an unloaded LabelBinarizer scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelEncoderContentLoader

Instantiate an unloaded LabelEncoder scikit-learn object.

createResultObject() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.MultiLabelBinarizerContentLoader

Instantiate an unloaded MultiLabelBinarizer scikit-learn object.

cumulativeDistributionFunction(double[]) - Static method in class ai.sklearn4j.core.libraries.Scipy.NormalDistribution

Calculate the cumulative distribution function of a normal array.

D

Dim10DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions double array for NumpyArray class.

Dim10DoubleNumpyWrapper(double[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

Instantiate a new wrapper for 10 array.

Dim10FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions float array for NumpyArray class.

Dim10FloatNumpyWrapper(float[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

Instantiate a new wrapper for 10 array.

Dim10Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions short array for NumpyArray class.

Dim10Int16NumpyWrapper(short[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

Instantiate a new wrapper for 10 array.

Dim10Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions int array for NumpyArray class.

Dim10Int32NumpyWrapper(int[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

Instantiate a new wrapper for 10 array.

Dim10Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions long array for NumpyArray class.

Dim10Int64NumpyWrapper(long[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

Instantiate a new wrapper for 10 array.

Dim10Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 10 dimensions byte array for NumpyArray class.

Dim10Int8NumpyWrapper(byte[][][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

Instantiate a new wrapper for 10 array.

Dim1DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions double array for NumpyArray class.

Dim1DoubleNumpyWrapper(double[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

Instantiate a new wrapper for 1 array.

Dim1FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions float array for NumpyArray class.

Dim1FloatNumpyWrapper(float[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

Instantiate a new wrapper for 1 array.

Dim1Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions short array for NumpyArray class.

Dim1Int16NumpyWrapper(short[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

Instantiate a new wrapper for 1 array.

Dim1Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions int array for NumpyArray class.

Dim1Int32NumpyWrapper(int[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

Instantiate a new wrapper for 1 array.

Dim1Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions long array for NumpyArray class.

Dim1Int64NumpyWrapper(long[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

Instantiate a new wrapper for 1 array.

Dim1Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 1 dimensions byte array for NumpyArray class.

Dim1Int8NumpyWrapper(byte[]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

Instantiate a new wrapper for 1 array.

Dim2DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions double array for NumpyArray class.

Dim2DoubleNumpyWrapper(double[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

Instantiate a new wrapper for 2 array.

Dim2FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions float array for NumpyArray class.

Dim2FloatNumpyWrapper(float[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

Instantiate a new wrapper for 2 array.

Dim2Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions short array for NumpyArray class.

Dim2Int16NumpyWrapper(short[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

Instantiate a new wrapper for 2 array.

Dim2Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions int array for NumpyArray class.

Dim2Int32NumpyWrapper(int[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

Instantiate a new wrapper for 2 array.

Dim2Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions long array for NumpyArray class.

Dim2Int64NumpyWrapper(long[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

Instantiate a new wrapper for 2 array.

Dim2Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 2 dimensions byte array for NumpyArray class.

Dim2Int8NumpyWrapper(byte[][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

Instantiate a new wrapper for 2 array.

Dim3DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions double array for NumpyArray class.

Dim3DoubleNumpyWrapper(double[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

Instantiate a new wrapper for 3 array.

Dim3FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions float array for NumpyArray class.

Dim3FloatNumpyWrapper(float[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

Instantiate a new wrapper for 3 array.

Dim3Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions short array for NumpyArray class.

Dim3Int16NumpyWrapper(short[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

Instantiate a new wrapper for 3 array.

Dim3Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions int array for NumpyArray class.

Dim3Int32NumpyWrapper(int[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

Instantiate a new wrapper for 3 array.

Dim3Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions long array for NumpyArray class.

Dim3Int64NumpyWrapper(long[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

Instantiate a new wrapper for 3 array.

Dim3Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 3 dimensions byte array for NumpyArray class.

Dim3Int8NumpyWrapper(byte[][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

Instantiate a new wrapper for 3 array.

Dim4DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions double array for NumpyArray class.

Dim4DoubleNumpyWrapper(double[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

Instantiate a new wrapper for 4 array.

Dim4FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions float array for NumpyArray class.

Dim4FloatNumpyWrapper(float[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

Instantiate a new wrapper for 4 array.

Dim4Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions short array for NumpyArray class.

Dim4Int16NumpyWrapper(short[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

Instantiate a new wrapper for 4 array.

Dim4Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions int array for NumpyArray class.

Dim4Int32NumpyWrapper(int[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

Instantiate a new wrapper for 4 array.

Dim4Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions long array for NumpyArray class.

Dim4Int64NumpyWrapper(long[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

Instantiate a new wrapper for 4 array.

Dim4Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 4 dimensions byte array for NumpyArray class.

Dim4Int8NumpyWrapper(byte[][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

Instantiate a new wrapper for 4 array.

Dim5DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions double array for NumpyArray class.

Dim5DoubleNumpyWrapper(double[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

Instantiate a new wrapper for 5 array.

Dim5FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions float array for NumpyArray class.

Dim5FloatNumpyWrapper(float[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

Instantiate a new wrapper for 5 array.

Dim5Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions short array for NumpyArray class.

Dim5Int16NumpyWrapper(short[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

Instantiate a new wrapper for 5 array.

Dim5Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions int array for NumpyArray class.

Dim5Int32NumpyWrapper(int[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

Instantiate a new wrapper for 5 array.

Dim5Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions long array for NumpyArray class.

Dim5Int64NumpyWrapper(long[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

Instantiate a new wrapper for 5 array.

Dim5Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 5 dimensions byte array for NumpyArray class.

Dim5Int8NumpyWrapper(byte[][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

Instantiate a new wrapper for 5 array.

Dim6DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions double array for NumpyArray class.

Dim6DoubleNumpyWrapper(double[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

Instantiate a new wrapper for 6 array.

Dim6FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions float array for NumpyArray class.

Dim6FloatNumpyWrapper(float[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

Instantiate a new wrapper for 6 array.

Dim6Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions short array for NumpyArray class.

Dim6Int16NumpyWrapper(short[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

Instantiate a new wrapper for 6 array.

Dim6Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions int array for NumpyArray class.

Dim6Int32NumpyWrapper(int[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

Instantiate a new wrapper for 6 array.

Dim6Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions long array for NumpyArray class.

Dim6Int64NumpyWrapper(long[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

Instantiate a new wrapper for 6 array.

Dim6Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 6 dimensions byte array for NumpyArray class.

Dim6Int8NumpyWrapper(byte[][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

Instantiate a new wrapper for 6 array.

Dim7DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions double array for NumpyArray class.

Dim7DoubleNumpyWrapper(double[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

Instantiate a new wrapper for 7 array.

Dim7FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions float array for NumpyArray class.

Dim7FloatNumpyWrapper(float[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

Instantiate a new wrapper for 7 array.

Dim7Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions short array for NumpyArray class.

Dim7Int16NumpyWrapper(short[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

Instantiate a new wrapper for 7 array.

Dim7Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions int array for NumpyArray class.

Dim7Int32NumpyWrapper(int[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

Instantiate a new wrapper for 7 array.

Dim7Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions long array for NumpyArray class.

Dim7Int64NumpyWrapper(long[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

Instantiate a new wrapper for 7 array.

Dim7Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 7 dimensions byte array for NumpyArray class.

Dim7Int8NumpyWrapper(byte[][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

Instantiate a new wrapper for 7 array.

Dim8DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions double array for NumpyArray class.

Dim8DoubleNumpyWrapper(double[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

Instantiate a new wrapper for 8 array.

Dim8FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions float array for NumpyArray class.

Dim8FloatNumpyWrapper(float[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

Instantiate a new wrapper for 8 array.

Dim8Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions short array for NumpyArray class.

Dim8Int16NumpyWrapper(short[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

Instantiate a new wrapper for 8 array.

Dim8Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions int array for NumpyArray class.

Dim8Int32NumpyWrapper(int[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

Instantiate a new wrapper for 8 array.

Dim8Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions long array for NumpyArray class.

Dim8Int64NumpyWrapper(long[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

Instantiate a new wrapper for 8 array.

Dim8Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 8 dimensions byte array for NumpyArray class.

Dim8Int8NumpyWrapper(byte[][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

Instantiate a new wrapper for 8 array.

Dim9DoubleNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions double array for NumpyArray class.

Dim9DoubleNumpyWrapper(double[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

Instantiate a new wrapper for 9 array.

Dim9FloatNumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions float array for NumpyArray class.

Dim9FloatNumpyWrapper(float[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

Instantiate a new wrapper for 9 array.

Dim9Int16NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions short array for NumpyArray class.

Dim9Int16NumpyWrapper(short[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

Instantiate a new wrapper for 9 array.

Dim9Int32NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions int array for NumpyArray class.

Dim9Int32NumpyWrapper(int[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

Instantiate a new wrapper for 9 array.

Dim9Int64NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions long array for NumpyArray class.

Dim9Int64NumpyWrapper(long[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

Instantiate a new wrapper for 9 array.

Dim9Int8NumpyWrapper - Class in ai.sklearn4j.core.libraries.numpy.wrappers

A wrapper over a 9 dimensions byte array for NumpyArray class.

Dim9Int8NumpyWrapper(byte[][][][][][][][][]) - Constructor for class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

Instantiate a new wrapper for 9 array.

divide(NumpyArray<Double>, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Divides a numpy array by a double value.

divide(NumpyArray<Float>, float) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Divides a numpy array by a float value.

divide(NumpyArray, NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Divides two numpy arrays.

dot(NumpyArray<Double>, NumpyArray<Double>) - Static method in class ai.sklearn4j.utils.ExtMath

Dot product of the NumpyArray.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.BernoulliNaiveBayesContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.CategoricalNaiveBayesContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.ComplementNaiveBayesContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.GaussianNaiveBayesContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.MultinomialNaiveBayesContentLoader

Create a clean instance of the loader.

duplicate() - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnContentLoader

Creates a clone of the instance.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.BinarizerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MaximumAbsoluteScalerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MinimumMaximumScalerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.NormalizerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.RobustScalerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.StandardScalerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelBinarizerContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelEncoderContentLoader

Create a clean instance of the loader.

duplicate() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.MultiLabelBinarizerContentLoader

Create a clean instance of the loader.

E

E - Static variable in class ai.sklearn4j.core.Constants

The number e = 2.71

exp(NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Calculate the exponential of all elements in the input array.

ExtMath - Class in ai.sklearn4j.utils

Helper class that implements scikit-learn functionalities in utils/extmath.py.

ExtMath() - Constructor for class ai.sklearn4j.utils.ExtMath

F

fileFormatVersion - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

The version of the binary package file.

from(byte[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension byte array.

from(byte[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension byte array.

from(byte[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension byte array.

from(byte[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension byte array.

from(byte[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension byte array.

from(byte[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension byte array.

from(byte[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension byte array.

from(byte[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension byte array.

from(byte[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension byte array.

from(byte[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension byte array.

from(double[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension double array.

from(double[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension double array.

from(double[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension double array.

from(double[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension double array.

from(double[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension double array.

from(double[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension double array.

from(double[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension double array.

from(double[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension double array.

from(double[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension double array.

from(double[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension double array.

from(float[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension float array.

from(float[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension float array.

from(float[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension float array.

from(float[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension float array.

from(float[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension float array.

from(float[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension float array.

from(float[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension float array.

from(float[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension float array.

from(float[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension float array.

from(float[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension float array.

from(int[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension int array.

from(int[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension int array.

from(int[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension int array.

from(int[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension int array.

from(int[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension int array.

from(int[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension int array.

from(int[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension int array.

from(int[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension int array.

from(int[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension int array.

from(int[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension int array.

from(long[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension long array.

from(long[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension long array.

from(long[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension long array.

from(long[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension long array.

from(long[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension long array.

from(long[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension long array.

from(long[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension long array.

from(long[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension long array.

from(long[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension long array.

from(long[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension long array.

from(short[]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 1 dimension short array.

from(short[][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 2 dimension short array.

from(short[][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 3 dimension short array.

from(short[][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 4 dimension short array.

from(short[][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 5 dimension short array.

from(short[][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 6 dimension short array.

from(short[][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 7 dimension short array.

from(short[][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 8 dimension short array.

from(short[][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 9 dimension short array.

from(short[][][][][][][][][][]) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Create a numpy array wrapper over a 10 dimension short array.

fromFile(String) - Static method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Creates a new BinaryModelPackage that reads from a given file.

fromStream(InputStream) - Static method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Creates a new BinaryModelPackage that reads from a given stream.

G

GaussianNaiveBayes - Class in ai.sklearn4j.naive_bayes

Naive Bayes classifier for normal distributed models.

GaussianNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

GaussianNaiveBayesContentLoader - Class in ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

GaussianNaiveBayes object loader.

GaussianNaiveBayesContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.GaussianNaiveBayesContentLoader

Instantiate a new object of GaussianNaiveBayesContentLoader.

get(int...) - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Gets the value of a single element in the numpy array denoted by its indices.

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets an element in the array specified by it index.

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

get(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

Gets the underlying native array object.

getArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

Gets the underlying native array object.

getBinarizationThreshold() - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Gets the threshold for binarizing (mapping to booleans) of sample features.

getCachedDict() - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Gets the value of CachedDict

getCenter() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets the The median value for each feature in the training set.

getClassCounts() - Method in class ai.sklearn4j.base.ClassifierMixin

Gets the class counts.

getClasses() - Method in class ai.sklearn4j.base.ClassifierMixin

Gets the classes.

getClasses() - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Gets the Holds the label for each class.

getClasses() - Method in class ai.sklearn4j.preprocessing.label.LabelEncoder

Gets the label for each class.

getClasses() - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Gets the A copy of the `classes` parameter when provided.

getClassLogPrior() - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Gets the log probability of each class (smoothed).

getClassLogPrior() - Method in class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

Gets the log probability of each class (smoothed).

getClassLogPrior() - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Gets the log probability of each class (smoothed).

getClassLogPrior() - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Gets the log probability of each class (smoothed).

getClassPriors() - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Gets the class priors.

getClip() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the value of Clip

getDataMax() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Per feature maximum seen in the data

getDataMin() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Per feature minimum seen in the data

getDataRange() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Per feature range `(data_max_ - data_min_)` seen in the data

getExtraValues() - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackage

Gets a Map[String: Object] of the extra values stored by the developer when saving the binary package.

getExtraValues() - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageV1

Gets a Map[String: Object] of the extra values stored by the developer when saving the binary package.

getFeatureAll() - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Get the value of the feature_all_ field.

getFeatureCounts() - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Gets the number of samples encountered for each (class, feature) during fitting.

getFeatureCounts() - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Gets the number of samples encountered for each (class, feature) during fitting.

getFeatureCounts() - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Gets the number of samples encountered for each (class, feature) during fitting.

getFeatureLogProbabilities() - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Gets the empirical log probability of features given a class, P(x_i|y).

getFeatureLogProbabilities() - Method in class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

Gets the empirical log probability of features given a class, P(x_i|y).

getFeatureLogProbabilities() - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Gets the empirical log probability of features given a class, P(x_i|y).

getFeatureLogProbabilities() - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Gets the empirical log probability of features given a class, P(x_i|y).

getFeatureNamesIn() - Method in class ai.sklearn4j.base.ClassifierMixin

Gets the feature names.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Gets the Names of features seen during `fit`.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Gets the Names of features seen during `fit`.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Names of features seen during `fit`.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Gets the Names of features seen during `fit`.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets the Names of features seen during `fit`.

getFeatureNamesIn() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the Names of features seen during `fit`.

getFeatureRange() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the value of FeatureRange

getFileFormatVersion() - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackageHeader

Gets the version of the binary package file.

getFileFormatVersion() - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

Gets the version of the binary package file.

getMaxAbs() - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Gets the Per feature maximum absolute value.

getMean() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the The mean value for each feature in the training set.

getMin() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Per feature adjustment for minimum.

getModel(String) - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackage

Get the primary content stored in binary package file.

getModel(String) - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageV1

Get the primary content stored in binary package file.

getNegativeLabel() - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Gets the value of NegLabel

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Gets the Number of features seen during `fit`.

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Gets the Number of features seen during `fit`.

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Number of features seen during `fit`.

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Gets the Number of features seen during `fit`.

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets the Number of features seen during `fit`.

getNFeaturesIn() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the Number of features seen during `fit`.

getNorm() - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Gets the type of norm that the object performs.

getNSamplesSeen() - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Gets the The number of samples processed by the estimator.

getNSamplesSeen() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the The number of samples processed by the estimator.

getNSamplesSeen() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the The number of samples processed by the estimator for each feature.

getNumberOfFeatures() - Method in class ai.sklearn4j.base.ClassifierMixin

Gets the number of features.

getPackageHeader() - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackage

Gets the object that stores the information provided in the binary package file header.

getPackageHeader() - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageV1

Gets the object that stores the information provided in the binary package file header.

getPositiveLabel() - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Gets the value of PosLabel

getPriors() - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Gets the priors.

getQuantilesRange() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets the quantile range used to calculate scale.

getRawArray() - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Gets the native array containing the numpy array data.

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

getRawArray() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

getScale() - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Gets the Per feature relative scaling of the data.

getScale() - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Gets the Per feature relative scaling of the data.

getScale() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets the The (scaled) interquartile range for each feature in the training set.

getScale() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the Per feature relative scaling of the data to achieve zero mean and unit variance.

getScikitLearnVersion() - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackageHeader

Gets the version that was used to train the scikit-learn object.

getScikitLearnVersion() - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

Gets the version of the scikit-learn library used to train/prepare the objects contained in the current file.

getShape() - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Gets the shape of the underlying Numpy array.

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets the shape of the numpy array.

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

getShape() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

getSigma() - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Gets the variance of the features.

getSingleValue() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets the first element of the numpy array from its memory layout.

getTheta() - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Gets the mean of the features.

getThreshold() - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Gets the threshold for binarization.

getTypeName() - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Name of the loader.

getTypeName() - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnContentLoader

Name of the loader.

getVariance() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the The variance for each feature in the training set.

getWithMean() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the value of WithMean

getWithStandardDeviation() - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Gets the value of WithStd

getWrapper() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets the object that wraps the underlying array.

getYType() - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Gets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target.

I

INumpyArrayElementOperation<Type> - Interface in ai.sklearn4j.core.libraries.numpy

An interface to provide a unified view of the operations that can be performed on the elements of a NumpyArray.

INumpyArrayWrapper - Interface in ai.sklearn4j.core.libraries.numpy

Unlike python, Java is a strongly typed language and all the fields should have a predefined type.

INumpyReduceAxisFunction - Interface in ai.sklearn4j.core.libraries.numpy

An interface to provide a unified view of the operations that can be performed on a specified dimension of a NumpyArray.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Long>) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Long>) - Method in class ai.sklearn4j.preprocessing.label.LabelEncoder

Takes a transformed array and reveres the transformation.

inverseTransform(NumpyArray<Long>) - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Takes a transformed array and reveres the transformation.

inverseTransform(OutputType) - Method in class ai.sklearn4j.base.TransformerMixin

Takes a transformed array and reveres the transformation.

IScikitLearnContentLoader - Interface in ai.sklearn4j.core.packaging.loaders

IScikitLearnContentLoader abstracts the format of individual objects from the file formatting.

IScikitLearnLoaderDictionaryFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a dictionary value into a scikit-learn object during deserialization.

IScikitLearnLoaderDoubleFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a double value into a scikit-learn object during deserialization.

IScikitLearnLoaderListFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a list value into a scikit-learn object during deserialization.

IScikitLearnLoaderListOfNumpyArrayFieldSetter<ObjectType,ArrayType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a list of numpy array value into a scikit-learn object during deserialization.

IScikitLearnLoaderLongFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a long value into a scikit-learn object during deserialization.

IScikitLearnLoaderNumpyArrayFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a numpy array value into a scikit-learn object during deserialization.

IScikitLearnLoaderStringArrayFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a string array value into a scikit-learn object during deserialization.

IScikitLearnLoaderStringFieldSetter<ObjectType> - Interface in ai.sklearn4j.core.packaging.loaders

A container for a method that sets a string value into a scikit-learn object during deserialization.

IScikitLearnPackage - Interface in ai.sklearn4j.core.packaging

This interface provides an abstraction over the physical file format to decouple the deserialization logic from the file format.

IScikitLearnPackageHeader - Interface in ai.sklearn4j.core.packaging

Abstracts the version of the binary package from its physical layout and its version.

isFloatingPoint() - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Returns a boolean indicating that the underlying array type is a floating point one or not.

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Returns a boolean indicating if the underlying data type is floating numbers or not.

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

isFloatingPoint() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

isSingleValueArray() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Returns a boolean indicating if the array contains only a single element.

isUnitVariance() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets if scale data so that normally distributed features have a variance of 1.

isWithCentering() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets if the transformer centers the data before scaling.

isWithScaling() - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Gets if the transformer scale the data to interquartile range.

J

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BaseNaiveBayes

Compute the unnormalized posterior log probability of X.

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Compute the unnormalized posterior log probability of X.

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

Compute the unnormalized posterior log probability of X.

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Compute the unnormalized posterior log probability of X.

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Compute the unnormalized posterior log probability of X.

jointLogLikelihood(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Compute the unnormalized posterior log probability of X.

L

LabelBinarizer - Class in ai.sklearn4j.preprocessing.label

Binarize labels in a one-vs-all fashion.

LabelBinarizer() - Constructor for class ai.sklearn4j.preprocessing.label.LabelBinarizer

Instantiate a new object of LabelBinarizer.

LabelBinarizerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.label

LabelBinarizer object loader.

LabelBinarizerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelBinarizerContentLoader

Instantiate a new object of LabelBinarizerContentLoader.

LabelEncoder - Class in ai.sklearn4j.preprocessing.label

Encode target labels with value between 0 and n_classes-1.

LabelEncoder() - Constructor for class ai.sklearn4j.preprocessing.label.LabelEncoder

Instantiate a new object of LabelEncoder.

LabelEncoderContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.label

LabelEncoder object loader.

LabelEncoderContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelEncoderContentLoader

Instantiate a new object of LabelEncoderContentLoader.

loadContent(BinaryModelPackage) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Loads the scikit-learn object with the provided layout in registerSetters.

loadContent(BinaryModelPackage) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnContentLoader

Loads a scikit-learn object from an input stream.

loaderForType(String) - Static method in class ai.sklearn4j.core.packaging.loaders.ScikitLearnContentLoaderFactory

Returns a loader based on its name for deserialization of contents.

loadFromFile(String) - Method in interface ai.sklearn4j.core.packaging.IScikitLearnPackage

Loads the binary package from a file.

loadFromFile(String) - Static method in class ai.sklearn4j.core.packaging.ScikitLearnPackageFactory

Load a binary package file into a ready to use object.

loadFromFile(String) - Method in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageV1

Loads the binary package from a file.

log(NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Natural logarithm, element-wise.

logSumExponent(NumpyArray<Double>, int) - Static method in class ai.sklearn4j.core.libraries.Scipy

Compute the log of the sum of exponentials of input elements.

M

MaximumAbsoluteScaler - Class in ai.sklearn4j.preprocessing.data

Scale each feature by its maximum absolute value.

MaximumAbsoluteScaler() - Constructor for class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Instantiate a new object of MaximumAbsoluteScaler.

MaximumAbsoluteScalerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

MaximumAbsoluteScaler object loader.

MaximumAbsoluteScalerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MaximumAbsoluteScalerContentLoader

Instantiate a new object of MaximumAbsoluteScalerContentLoader.

MinimumMaximumScaler - Class in ai.sklearn4j.preprocessing.data

Transform features by scaling each feature to a given range.

MinimumMaximumScaler() - Constructor for class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Instantiate a new object of MinimumMaximumScaler.

MinimumMaximumScalerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

MinimumMaximumScaler object loader.

MinimumMaximumScalerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MinimumMaximumScalerContentLoader

Instantiate a new object of MinimumMaximumScalerContentLoader.

MultiLabelBinarizer - Class in ai.sklearn4j.preprocessing.label

Transform between iterable of iterables and a multilabel format.

MultiLabelBinarizer() - Constructor for class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Instantiate a new object of MultiLabelBinarizer.

MultiLabelBinarizerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.label

MultiLabelBinarizer object loader.

MultiLabelBinarizerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.label.MultiLabelBinarizerContentLoader

Instantiate a new object of MultiLabelBinarizerContentLoader.

MultinomialNaiveBayes - Class in ai.sklearn4j.naive_bayes

Naive Bayes classifier for multinomial distributed models.

MultinomialNaiveBayes() - Constructor for class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

MultinomialNaiveBayesContentLoader - Class in ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes

MultinomialNaiveBayes object loader.

MultinomialNaiveBayesContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.MultinomialNaiveBayesContentLoader

Instantiate a new object of MultinomialNaiveBayesContentLoader.

multiply(NumpyArray<Double>, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Multiplies a numpy array by a double value.

multiply(NumpyArray<Float>, float) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Multiplies a numpy array by a float value.

multiply(NumpyArray, NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Multiplies two numpy arrays.

N

NormalDistribution() - Constructor for class ai.sklearn4j.core.libraries.Scipy.NormalDistribution

Normalizer - Class in ai.sklearn4j.preprocessing.data

Normalize samples individually to unit norm.

Normalizer() - Constructor for class ai.sklearn4j.preprocessing.data.Normalizer

Instantiate a new object of Normalizer.

NormalizerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

Normalizer object loader.

NormalizerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.NormalizerContentLoader

Instantiate a new object of NormalizerContentLoader.

numberOfBits() - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

The space allocated by each element of the numpy array in terms of bits.

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

numberOfBits() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

numberOfBytes() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets the number of bytes allocated in memory for each element.

numberOfDimensions() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Gets the number of dimensions of the numpy array.

Numpy - Class in ai.sklearn4j.core.libraries.numpy

Implementation of the Numpy library APIs.

Numpy() - Constructor for class ai.sklearn4j.core.libraries.numpy.Numpy

NumpyArray<Type> - Class in ai.sklearn4j.core.libraries.numpy

Provide the functionality of the Numpy arrays and an abstraction over the element types.

NumpyArray(INumpyArrayWrapper) - Constructor for class ai.sklearn4j.core.libraries.numpy.NumpyArray

Instantiate a new object of NumpyArray.

NumpyArrayFactory - Class in ai.sklearn4j.core.libraries.numpy

A factory class that facilitate the creation of NumpyArrays.

NumpyArrayFactory() - Constructor for class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

NumpyArrayOperationWithAxisReduction<InputType,OutputType> - Class in ai.sklearn4j.core.libraries.numpy

Base class for all the operations that performs an aggregation and reduction on a given NumpyArray.

NumpyArrayOperationWithAxisReduction() - Constructor for class ai.sklearn4j.core.libraries.numpy.NumpyArrayOperationWithAxisReduction

NumpyOperationException - Exception in ai.sklearn4j.core.libraries.numpy

A custom exception that provides information on what went wrong in numpy's processing.

NumpyOperationException(String) - Constructor for exception ai.sklearn4j.core.libraries.numpy.NumpyOperationException

Instantiate a new exception object.

numpyVersion - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

The version of the numpy library used to train/prepare the objects contained in the current file.

P

PI - Static variable in class ai.sklearn4j.core.Constants

The number Pi = 3.14

platformInfo - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

Information about the platform that was used to create the binary package file.

pow(NumpyArray, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Performs an element-wise power operation on a given NumpyArray.

predict(NumpyArray<Double>) - Method in class ai.sklearn4j.base.ClassifierMixin

Perform classification on an array of test vectors X.

predict(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BaseNaiveBayes

Perform classification on an array of test vectors X.

predictLogProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.base.ClassifierMixin

Return log-probability estimates for the test vector X.

predictLogProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BaseNaiveBayes

Return log-probability estimates for the test vector X.

predictProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.base.ClassifierMixin

Return probability estimates for the test vector X.

predictProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BaseNaiveBayes

Return probability estimates for the test vector X.

Preprocessings - Class in ai.sklearn4j.utils

Utils method that scikit-learn provide to preprocess the data.

Preprocessings() - Constructor for class ai.sklearn4j.utils.Preprocessings

pythonInfo - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

Information about the python version installed that was used to create the binary package file.

R

readByte() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a byte from the stream.

readDictionary() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a dictionary from the stream.

readDouble() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a 64-bits floating point value from the stream.

readFloat() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a 32-bits floating point value from the stream.

readInteger() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a 32-bits integer from the stream.

readList() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a list from the stream.

readLongInteger() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a 64-bits integer from the stream.

readNumpyArray() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Read a multidimensional numpy array from the stream.

readShort() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a 16-bits integer from the stream.

readString() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads a string with UTF-8 encoding from stream.

readStringArray() - Method in class ai.sklearn4j.core.packaging.BinaryModelPackage

Reads an array of string from the stream.

reduceAxisValues(Object[]) - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyReduceAxisFunction

The aggregation function that can reduce the values of a NumpyArray dimension.

reduceAxisValues(Object[]) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayOperationWithAxisReduction

The core operation that does the aggregation.

registerDictionaryField(String, IScikitLearnLoaderDictionaryFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a dictionary field for the scikit-learn serialized layout.

registerDoubleField(String, IScikitLearnLoaderDoubleFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a double field for the scikit-learn serialized layout.

registerListField(String, IScikitLearnLoaderListFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a list field for the scikit-learn serialized layout.

registerListOfNumpyArrayField(String, IScikitLearnLoaderListOfNumpyArrayFieldSetter<ObjectType, ArrayType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a list of numpy array field for the scikit-learn serialized layout.

registerLongField(String, IScikitLearnLoaderLongFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a long integer field for the scikit-learn serialized layout.

registerNumpyArrayField(String, IScikitLearnLoaderNumpyArrayFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a numpy array field for the scikit-learn serialized layout.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

An abstract method implemented by the derived classes that loads the layout of the binary format.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.BernoulliNaiveBayesContentLoader

Defines the fields that are required to initialize a trained classifier.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.CategoricalNaiveBayesContentLoader

Defines the fields that are required to initialize a trained classifier.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.ComplementNaiveBayesContentLoader

Defines the fields that are required to initialize a trained classifier.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.GaussianNaiveBayesContentLoader

Defines the fields that are required to initialize a trained classifier.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.classifiers.naive_bayes.MultinomialNaiveBayesContentLoader

Defines the fields that are required to initialize a trained classifier.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.BinarizerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MaximumAbsoluteScalerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.MinimumMaximumScalerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.NormalizerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.RobustScalerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.data.StandardScalerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelBinarizerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.LabelEncoderContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerSetters() - Method in class ai.sklearn4j.core.packaging.loaders.preprocessing.label.MultiLabelBinarizerContentLoader

Defines the fields that are required to initialize a trained scikit-learn object.

registerStringArrayField(String, IScikitLearnLoaderStringArrayFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a String array field for the scikit-learn serialized layout.

registerStringField(String, IScikitLearnLoaderStringFieldSetter<ObjectType>) - Method in class ai.sklearn4j.core.packaging.loaders.BaseScikitLearnContentLoader

Registers a string field for the scikit-learn serialized layout.

RobustScaler - Class in ai.sklearn4j.preprocessing.data

Scale features using statistics that are robust to outliers.

RobustScaler() - Constructor for class ai.sklearn4j.preprocessing.data.RobustScaler

Instantiate a new object of RobustScaler.

RobustScalerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

RobustScaler object loader.

RobustScalerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.RobustScalerContentLoader

Instantiate a new object of RobustScalerContentLoader.

rowNorm(NumpyArray<Double>) - Static method in class ai.sklearn4j.utils.ExtMath

Row-wise (squared) Euclidean norm of X.

rowNorm(NumpyArray<Double>, boolean) - Static method in class ai.sklearn4j.utils.ExtMath

Row-wise (squared) Euclidean norm of X.

S

ScikitLearnContentLoaderFactory - Class in ai.sklearn4j.core.packaging.loaders

A factory class that instantiate a loader of type IScikitLearnContentLoader for a given serializer name.

ScikitLearnContentLoaderFactory() - Constructor for class ai.sklearn4j.core.packaging.loaders.ScikitLearnContentLoaderFactory

ScikitLearnCoreException - Exception in ai.sklearn4j.core

A custom exception that provides information on what went wrong in the library general processing.

ScikitLearnCoreException(String) - Constructor for exception ai.sklearn4j.core.ScikitLearnCoreException

Instantiate a new exception object.

ScikitLearnFeatureNotImplementedException - Exception in ai.sklearn4j.core

A custom exception that indicates a feature has not been implemented yet.

ScikitLearnFeatureNotImplementedException() - Constructor for exception ai.sklearn4j.core.ScikitLearnFeatureNotImplementedException

Instantiate a new exception object.

ScikitLearnFeatureNotImplementedException(String) - Constructor for exception ai.sklearn4j.core.ScikitLearnFeatureNotImplementedException

Instantiate a new exception object.

ScikitLearnPackageFactory - Class in ai.sklearn4j.core.packaging

ScikitLearnPackageFactory is a factory that takes in the physical file (or stream) of a binary package and parse it into a ready to use object.

ScikitLearnPackageFactory() - Constructor for class ai.sklearn4j.core.packaging.ScikitLearnPackageFactory

ScikitLearnPackageHeaderV1 - Class in ai.sklearn4j.core.packaging.version_1

A data class that contains the values stored in the header of the binary package files.

ScikitLearnPackageHeaderV1() - Constructor for class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

ScikitLearnPackageV1 - Class in ai.sklearn4j.core.packaging.version_1

A data class that contains the values stored in the binary package files.

ScikitLearnPackageV1() - Constructor for class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageV1

scikitLearnVersion - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

The version of the scikit-learn library used to train/prepare the objects contained in the current file.

Scipy - Class in ai.sklearn4j.core.libraries

Function of the scipy library that was used in scikit-learn.

Scipy() - Constructor for class ai.sklearn4j.core.libraries.Scipy

Scipy.NormalDistribution - Class in ai.sklearn4j.core.libraries

Utility functions in scipy related to normal distributions.

scipyVersion - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

The version of the scipy library used to train/prepare the objects contained in the current file.

serializerTypes - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

List of the serializers used to serialize the primary contents of the binary package.

set(Object, int...) - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Sets the value of a single element in the numpy array denoted by its indices.

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Sets an element in the array specified by it index.

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

set(Object, int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

setBinarizationThreshold(double) - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Sets the threshold for binarizing (mapping to booleans) of sample features.

setCachedDict(Map<String, Object>) - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Sets the value of CachedDict

setCenter(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets the The median value for each feature in the training set.

setClassCounts(NumpyArray<Double>) - Method in class ai.sklearn4j.base.ClassifierMixin

Sets the class counts.

setClasses(NumpyArray<Long>) - Method in class ai.sklearn4j.base.ClassifierMixin

Sets the classes.

setClasses(List<Object>) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Sets the Holds the label for each class.

setClasses(List<Object>) - Method in class ai.sklearn4j.preprocessing.label.LabelEncoder

Sets the label for each class.

setClasses(List<Object>) - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Sets the A copy of the `classes` parameter when provided.

setClassLogPrior(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Sets the log probability of each class (smoothed).

setClassLogPrior(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

Sets the log probability of each class (smoothed).

setClassLogPrior(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Sets the log probability of each class (smoothed).

setClassLogPrior(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Sets the log probability of each class (smoothed).

setClassPriors(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Sets the class priors.

setClip(boolean) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the value of Clip

setDataMax(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Per feature maximum seen in the data

setDataMin(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Per feature minimum seen in the data

setDataRange(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Per feature range `(data_max_ - data_min_)` seen in the data

setDictionaryField(ObjectType, Map<String, Object>) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderDictionaryFieldSetter

Sets a dictionary value into a scikit-learn object.

setDoubleField(ObjectType, double) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderDoubleFieldSetter

Sets a double value into a scikit-learn object.

setFeatureAll(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Sets the value of the value of the feature_all_ field.

setFeatureCount(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Sets the number of samples encountered for each (class, feature) during fitting.

setFeatureCount(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Sets the number of samples encountered for each (class, feature) during fitting.

setFeatureCount(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Sets the number of samples encountered for each (class, feature) during fitting.

setFeatureLogProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.BernoulliNaiveBayes

Sets the empirical log probability of features given a class, P(x_i|y).

setFeatureLogProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.ComplementNaiveBayes

Sets the empirical log probability of features given a class, P(x_i|y).

setFeatureLogProbabilities(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.MultinomialNaiveBayes

Sets the empirical log probability of features given a class, P(x_i|y).

setFeatureLogProbabilities(List<NumpyArray<Double>>) - Method in class ai.sklearn4j.naive_bayes.CategoricalNaiveBayes

Sets the empirical log probability of features given a class, P(x_i|y).

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.base.ClassifierMixin

Sets the feature names.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Sets the Names of features seen during `fit`.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Sets the Names of features seen during `fit`.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Names of features seen during `fit`.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Sets the Names of features seen during `fit`.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets the Names of features seen during `fit`.

setFeatureNamesIn(String[]) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the Names of features seen during `fit`.

setFeatureRange(double[]) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the value of FeatureRange

setListField(ObjectType, List<Object>) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderListFieldSetter

Sets a value into a scikit-learn object.

setListOfNumpyArrayField(ObjectType, List<NumpyArray<ArrayType>>) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderListOfNumpyArrayFieldSetter

Sets a numpy array value into a scikit-learn object.

setLongField(ObjectType, long) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderLongFieldSetter

Sets a long value into a scikit-learn object.

setMaxAbs(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Sets the Per feature maximum absolute value.

setMean(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the The mean value for each feature in the training set.

setMin(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Per feature adjustment for minimum.

setNegativeLabel(long) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Sets the value of NegLabel

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Sets the Number of features seen during `fit`.

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Sets the Number of features seen during `fit`.

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Number of features seen during `fit`.

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Sets the Number of features seen during `fit`.

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets the Number of features seen during `fit`.

setNFeaturesIn(long) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the Number of features seen during `fit`.

setNorm(String) - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Sets the type of norm that the object performs.

setNSamplesSeen(long) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Sets the The number of samples processed by the estimator.

setNSamplesSeen(long) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the The number of samples processed by the estimator.

setNSamplesSeen(NumpyArray<Long>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the The number of samples processed by the estimator for each feature.

setNumberOfFeatures(int) - Method in class ai.sklearn4j.base.ClassifierMixin

Sets the number of features.

setNumpyArrayField(ObjectType, NumpyArray) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderNumpyArrayFieldSetter

Sets a numpy array value into a scikit-learn object.

setPositiveLabel(long) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Sets the value of PosLabel

setPriors(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Sets the priors.

setQuantilesRange(double[]) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets the quantile range used to calculate scale

setScale(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Sets the Per feature relative scaling of the data.

setScale(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Sets the Per feature relative scaling of the data.

setScale(NumpyArray) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets the The (scaled) interquartile range for each feature in the training set.

setScale(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the Per feature relative scaling of the data to achieve zero mean and unit variance.

setSigma(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Sets the variance of the features.

setStringArrayField(ObjectType, String[]) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderStringArrayFieldSetter

Sets a string array value into a scikit-learn object.

setStringField(ObjectType, String) - Method in interface ai.sklearn4j.core.packaging.loaders.IScikitLearnLoaderStringFieldSetter

Sets a long value into a scikit-learn object.

setTheta(NumpyArray<Double>) - Method in class ai.sklearn4j.naive_bayes.GaussianNaiveBayes

Sets the mean of the features.

setThreshold(double) - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Sets the threshold for binarization.

setUnitVariance(boolean) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets if scale data so that normally distributed features have a variance of 1.

setVariance(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the The variance for each feature in the training set.

setWithCentering(boolean) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets if the transformer centers the data before scaling.

setWithMean(boolean) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the value of WithMean

setWithScaling(boolean) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Sets if the transformer scale the data to interquartile range.

setWithStandardDeviation(boolean) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Sets the value of WithStd

setYType(String) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Sets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target.

SIZE_OF_DOUBLE - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate a double.

SIZE_OF_FLOAT - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate a float.

SIZE_OF_INT_16 - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate a short.

SIZE_OF_INT_32 - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate an int.

SIZE_OF_INT_64 - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate a long.

SIZE_OF_INT_8 - Static variable in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Number of bytes used to allocate a byte.

sklearn4xVersion - Variable in class ai.sklearn4j.core.packaging.version_1.ScikitLearnPackageHeaderV1

The sklearn4x version.

sqrt(NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Return the non-negative square-root of an array, element-wise.

squeeze(NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Remove axes of length one from the array.

StandardScaler - Class in ai.sklearn4j.preprocessing.data

Standardize features by removing the mean and scaling to unit variance.

StandardScaler() - Constructor for class ai.sklearn4j.preprocessing.data.StandardScaler

Instantiate a new object of StandardScaler.

StandardScalerContentLoader - Class in ai.sklearn4j.core.packaging.loaders.preprocessing.data

StandardScaler object loader.

StandardScalerContentLoader() - Constructor for class ai.sklearn4j.core.packaging.loaders.preprocessing.data.StandardScalerContentLoader

Instantiate a new object of StandardScalerContentLoader.

subtract(NumpyArray, byte) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a byte value from numpy arrays.

subtract(NumpyArray, double) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a double value from numpy arrays.

subtract(NumpyArray, float) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a float value from numpy arrays.

subtract(NumpyArray, int) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a int value from numpy arrays.

subtract(NumpyArray, long) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a long value from numpy arrays.

subtract(NumpyArray, short) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract a short value from numpy arrays.

subtract(NumpyArray, NumpyArray) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Subtract two numpy arrays.

sum(NumpyArray, int, boolean) - Static method in class ai.sklearn4j.core.libraries.numpy.Numpy

Sums the values of a NumpyArray along a specified axis.

T

toByte(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into a byte.

toDouble(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into a double.

toFloat(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into a float.

toInteger(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into an int.

toLong(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into a long.

toShort(Object) - Static method in class ai.sklearn4j.core.libraries.numpy.NumpyArrayFactory

Converts a value into a short.

toString() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Returns a string representation of the array for DEBUGGING purposes.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.Binarizer

Takes the input array and transforms it.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.MaximumAbsoluteScaler

Takes the input array and transforms it.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.MinimumMaximumScaler

Takes the input array and transforms it.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.Normalizer

Takes the input array and transforms it.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.RobustScaler

Takes the input array and transforms it.

transform(NumpyArray<Double>) - Method in class ai.sklearn4j.preprocessing.data.StandardScaler

Takes the input array and transforms it.

transform(InputType) - Method in class ai.sklearn4j.base.TransformerMixin

Takes the input array and transforms it.

transform(List<Object>) - Method in class ai.sklearn4j.preprocessing.label.LabelBinarizer

Takes the input array and transforms it.

transform(List<Object>) - Method in class ai.sklearn4j.preprocessing.label.LabelEncoder

Transform labels to normalized encoding.

transform(List<Set<Object>>) - Method in class ai.sklearn4j.preprocessing.label.MultiLabelBinarizer

Takes the input array and transforms it.

TransformerMixin<InputType,OutputType> - Class in ai.sklearn4j.base

Mixin class for all transformers in scikit-learn.

TransformerMixin() - Constructor for class ai.sklearn4j.base.TransformerMixin

transpose() - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Transposes a numpy array by reversing its dimensions.

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Transposes an array by reversing the order of its dimensions.

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

transpose() - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

W

wrapInnerSubsetArray(int...) - Method in interface ai.sklearn4j.core.libraries.numpy.INumpyArrayWrapper

Wraps a subset of the numpy array.

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.NumpyArray

Wraps a subset of the numpy array.

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim10Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim1Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim2Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim3Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim4Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim5Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim6Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim7Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim8Int8NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9DoubleNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9FloatNumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int16NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int32NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int64NumpyWrapper

wrapInnerSubsetArray(int...) - Method in class ai.sklearn4j.core.libraries.numpy.wrappers.Dim9Int8NumpyWrapper

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