library.phases.phases_implementation.data_preprocessing.feature_scaling module

class library.phases.phases_implementation.data_preprocessing.feature_scaling.FeatureScaling(dataset: Dataset)[source]

Bases: object

scale_features(scaler: str, columnsToScale: list[str], save_plots: bool = False, save_path: str = None) → str[source]

Scales the features in the dataset

Parameters:

  • scaler (str) – The scaler to use (‘minmax’, ‘robust’, ‘standard’)

  • columnsToScale (list[str]) – The columns to scale

  • save_plots (bool) – Whether to save plots before and after scaling

  • save_path (str) – The path to save the plots

Returns:

Message indicating the number of features scaled

Return type:

str