A library for data science teams to avoid code duplication in common tasks involving scikit-learn transformers and estimators.
Project description
Data Science Utils
A toolkit for day-to-day DS tasks such as using custom transformers or estimators.
Found a bug or have a feature request? Open an issue!
Usage
import pier_ds_utils as ds
# Transformers
discrete_categorizer = ds.transformer.CustomDiscreteCategorizer(...)
interval_categorizer = ds.transformer.CustomIntervalCategorizer(...)
interval_categorizer_by_category = ds.transformer.CustomIntervalCategorizerByCategory(...)
# Estimators
glm_wrapper = ds.estimator.GLMWrapper(...)
predict_proba_selector = ds.estimator.PredictProbaSelector(...)
Installation
pip install pier-ds-utils
# or
poetry add pier-ds-utils
For a specific version:
pip install pier-ds-utils@_version_
# or
poetry add pier-ds-utils@_version_
Contributing
Contributions are welcome! Please read the contributing guidelines first.
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