data-poisoning-detector 0.1.1b4

Data Poisoning Detection using self-supervised learning techniques

Status: Beta APIs may change and detection thresholds are still being refined.

This is the python library that can be used for the api requests so that users can call to check for poisons in their own datasets.

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Quick Start

from poison_detector import api

#UCI dataset
report = api.analyze('uci', 73)
print(report)
clean_uci_df = api.clean('uci', 73)

#CSV file
report = api.analyze('csv', 'path/to/file/dataset.csv')
print(report)
clean_csv_df = api.clean('csv', 'path/to/file/dataset.csv')

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### Supported Sources

- `"uci"` - UCI Machine Learning repository (by dataset ID).
- `"csv"` - Local CSV files.

Change Log

0.1.1b4 (21/01/2026)

• Updated the analyze and clean function to a common function instead of seperate functions for UCI and csv.

0.1.0 (19/01/2026)

• Initial Release
• Fixed issue with calling the model file