Source code for getml.preprocessors.imputation

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"""
Contains routines for preprocessing data frames.
"""

from .preprocessor import _Preprocessor


[docs]class Imputation(_Preprocessor): """ Imputation replaces all NULL values in numerical columns with the mean of the remaining columns. Optionally, it can additionally add a dummy column that signifies whether the original value was imputed. .. code-block:: python imputation = getml.preprocessors.Imputation() pipe = getml.pipeline.Pipeline( population=population_placeholder, peripheral=[order_placeholder, trans_placeholder], preprocessors=[imputation], feature_learners=[feature_learner_1, feature_learner_2], feature_selectors=feature_selector, predictors=predictor, share_selected_features=0.5 ) Args: add_dummies (bool): Whether you want to add dummy variables that signify whether the original value was imputed.. """ def __init__(self, add_dummies=False): if not isinstance(add_dummies, bool): raise TypeError("'add_dummies' must be a boolean!") super().__init__() self.type = "Imputation" self.add_dummies = add_dummies