Hierarichcial Bayesian Target Encoder
hierarchical-bay-cat-encoder is a Python library for encoding classes of cross features derived from categorical features that relate to one another in a herarchival structure. It facilitates the process of converting categorical features into continuous variables based on the information with respect to target responses, a data preprocessing practice that often improves model performnace in machine learning and is one of well adopted winner techiniques in Kaggle competitions for tabular/structured data.
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Release files for hierarchical-bay-cat-encoder 0.4.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| hierarchical-bay-cat-encoder-0.4.5.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| hierarchical_bay_cat_encoder-0.4.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.6 kB
Release files / hierarchical-bay-cat-encoder-0.4.5.tar.gz
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Release files / hierarchical_bay_cat_encoder-0.4.5-py3-none-any.whl
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| Size | 5.9 kB |
| Tags | Python 3 |
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