Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the What you really need to know section for the big picture.

julearn.inspect.preprocess¶

julearn.inspect.preprocess(pipeline, X, data, until=None, with_column_types=False)¶

Preprocess data with a pipeline until a certain step (inclusive).

Parameters:

pipeline (Pipeline) – The pipeline to use.
X (list[str]) – The features to use.
data (DataFrame) – The data to preprocess.
until (str | None, default: None) – The name of the step to preprocess until (inclusive). If None, will preprocess all steps (default is None).
with_column_types (bool, default: False) – Whether to include the column types in the output (default is False).

Returns:

The preprocessed data.

Examples using `julearn.inspect.preprocess`¶

Inspecting SVM models

Preprocessing with variance threshold, zscore and PCA

Regression Analysis

Return Confounds in Confound Removal

julearn.inspect.preprocess¶

Examples using julearn.inspect.preprocess¶

Examples using `julearn.inspect.preprocess`¶