fit: Fit a preprocessing pipeline

In multivarious: Extensible Data Structures for Multivariate Analysis

Fit a preprocessing pipeline

Description

Learn preprocessing parameters from training data. This function fits the preprocessing pipeline to the provided data matrix, learning parameters such as means, standard deviations, or other transformation parameters.

Usage

fit(object, X, ...)

Arguments

object	A preprocessing object (e.g., prepper or pre_processor)
X	A matrix or data frame to fit the preprocessing pipeline to
...	Additional arguments passed to methods

Value

A fitted preprocessing object that can be used with transform() and inverse_transform()

See Also

fit_transform(), transform(), inverse_transform()

Examples

# Fit a centering preprocessor
X <- matrix(rnorm(100), 10, 10)
preproc <- center()
fitted_preproc <- fit(preproc, X)

# Transform new data
X_new <- matrix(rnorm(50), 5, 10)
X_transformed <- transform(fitted_preproc, X_new)

multivarious documentation built on Jan. 22, 2026, 1:06 a.m.