pimkl.utils.preprocessing package

Submodules

pimkl.utils.preprocessing.core module

Core data pre-processing utilities.

pimkl.utils.preprocessing.core.enforce_pandas_dataframe_on_second_argument(function)

Decorate to enforce pandas DataFrame argument as input.

pimkl.utils.preprocessing.core.labels_to_one_hot_code(labels, n=None)

Transform labels to one-hot-code.

pimkl.utils.preprocessing.core.labels_to_one_hot_code_using_dict(labels, labels_dict)

Transform labels to one-hot-code.

pimkl.utils.preprocessing.scaler module

Data scaling utilities.

class pimkl.utils.preprocessing.scaler.Scaler(min_target=0.0, max_target=1.0, fill_value=0.0)

Bases: object

Object for data scaling.

apply(second)

reapply(second)

scales = None

unapply(second)

pimkl.utils.preprocessing.standardizer module

Data standardization utilities.

class pimkl.utils.preprocessing.standardizer.Standardizer

Bases: object

Object for data standardization.

apply(second)

parameters = None

reapply(second)

unapply(second)

Module contents

Data pre-processing utilities.