AutoProcess: Automated Data Preprocessing Library
AutoProcess is a Python library that leverages the power of Google's Gemini AI to automate various data preprocessing tasks. It provides intelligent, context-aware solutions for data cleaning, transformation, feature engineering, and skew correction.
Features
Data Cleaning: Handles missing values, outliers, and duplicates Data Transformation: Manages datatype conversions, categorical encoding, and feature scaling Feature Engineering: Generates domain-aware feature creation strategies Skew Correction: Applies appropriate transformations to correct skewed distributions
1 maintainer
Metadata
1 maintainer
Release files for autoprocess-iitg 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| autoprocess_iitg-0.1.1.tar.gz | 7.9 kB | Without provenance | Details for autoprocess_iitg-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| autoprocess_iitg-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for autoprocess_iitg-0.1.1-py3-none-any.whl |
Total release size: 18.4 kB
Release files / autoprocess_iitg-0.1.1.tar.gz
| Download URL | autoprocess_iitg-0.1.1.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.4
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Release files / autoprocess_iitg-0.1.1-py3-none-any.whl
| Download URL | autoprocess_iitg-0.1.1-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
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Security for autoprocess-iitg 0.1.1
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