pier-ds-utils 0.5.0a1

A library for data science teams to avoid code duplication in common tasks involving scikit-learn transformers and estimators.

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

First, import the library:

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(...)

Predictors

predictor = ds.predictor.StaticGLM(...)

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.