RandomOversampler-class: RandomOverSampler class

In stschn/deepANN: Neural Network Toolbox

RandomOverSampler class

Description

A class for random oversampling datasets.

Super class

deepANN::Sampler -> RandomOverSampler

Methods

Public methods

• RandomOverSampler$fit_resample()

• RandomOverSampler$clone()

Inherited methods

• deepANN::Sampler$fit()
• deepANN::Sampler$initialize()

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Method fit_resample()

Random oversample the dataset.

Usage

RandomOverSampler$fit_resample(X, y)

Arguments

X

Feature data set, usually a data.frame or an array of shape (n_samples, n_features).

y

Target data set, usually a column of a data.frame or an array which holds the corresponding label for each sample in X.

Returns

A list with X_resampled and y_resampled.

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Method clone()

The objects of this class are cloneable with this method.

Usage

RandomOverSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.