sktools 0.1.1

Tools to extend sklearn

sktools

Tools to extend sklearn

• Free software: MIT license

• Documentation: https://sktools.readthedocs.io

Usage

from sktools import IsEmptyExtractor

from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import Pipeline

...

mod = Pipeline([
    ("impute-features", IsEmptyExtractor),
    ("model", LogisticRegression())
])

...

Features

Here’s a list of features that sktools currently offers:

• sktools.encoders.NestedTargetEncoder performs target encoding suited for variables with nesting.

• sktools.encoders.PercentileEncoder performs target aggregation using a quantile instead of the mean.

• sktools.impute.IsEmptyExtractor creates binary variables indicating if there are missing values.

• sktools.matrix_denser.MatrixDenser transformer that converts sparse matrices to dense.

• sktools.quantilegroups.GroupedQuantileTransformer creates quantiles of a feature by group.

• sktools.quantilegroups.PercentileGroupFeaturizer creates features regarding how an instance compares with a quantile of its group.

• sktools.quantilegroups.MeanGroupFeaturizer creates features regarding how an instance compares with the mean of its group.

• sktools.selectors.TypeSelector gets variables matching a type.

• sktools.selectors.ItemsSelector allows to manually choose some variables.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2020-04-19)

• First release on PyPI.