autoflow.feature_engineer.compress package

Submodules

autoflow.feature_engineer.compress.f1_score module

autoflow.feature_engineer.compress.pearson module

class autoflow.feature_engineer.compress.pearson.Pearson(threshold, n_jobs=1, max_delete=1)

Bases: autoflow.feature_engineer.compress.similarity_base.SimilarityBase

core_func(s, e, L)

name = 'pearson and f1_score'

autoflow.feature_engineer.compress.similarity_base module

class autoflow.feature_engineer.compress.similarity_base.SimilarityBase(threshold, n_jobs=1, max_delete=1)

Bases: sklearn.base.TransformerMixin, sklearn.base.BaseEstimator

core_func(s, e, L)

fit(X: Union[pandas.core.frame.DataFrame, numpy.ndarray], y=None)

name = None

transform(X, y=None)

autoflow.feature_engineer.compress.similarity_base.get_start_end_tuples(threads, L)

autoflow.feature_engineer.compress.variance module

class autoflow.feature_engineer.compress.variance.Variance(threshold, n_jobs=1, max_delete=1)

Bases: autoflow.feature_engineer.compress.similarity_base.SimilarityBase

fit(X: Union[pandas.core.frame.DataFrame, numpy.ndarray], y=None)

Module contents