smart-preprocess-asif 0.1.0

One-line smart preprocessing for ML: impute, encode, scale, and (optionally) clip outliers.

smart_preprocess

One-line smart preprocessing for ML: impute, encode, scale, and (optionally) clip outliers.

Install

pip install smart_preprocess

import pandas as pd
from smart_preprocess import SmartCleaner

df = pd.DataFrame({
  "age": [20, 21, None, 23, 1000],
  "city": ["A", "B", "A", None, "C"]
})

cleaner = SmartCleaner(outlier_clip=True)
X = cleaner.fit_transform(df)
print(cleaner.report_)


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### 🪪 3️⃣ File: `LICENSE`

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MIT License

Copyright (c) 2025 Asif

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of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

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