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:
- pipelinePipeline
The pipeline to use.
- Xlist of str
The features to use.
- datapd.DataFrame
The data to preprocess.
- untilstr, optional
The name of the step to preprocess until (inclusive). If None, will preprocess all steps (default is None).
- with_column_typesbool, optional
Whether to include the column types in the output (default is False).
- Returns:
- pd.DataFrame
The preprocessed data.
Examples using julearn.inspect.preprocess#
Preprocessing with variance threshold, zscore and PCA
Preprocessing with variance threshold, zscore and PCA
