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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