pucktrick 0.4

A python library for error genration in dataset for machine learning

pucktrick

Pucktrick is a Python library that provides various utility functions to introduce errors in your dataframe. The name of library is based on Puck. Puck is the name of the elf in the “A midsummer Night’s dream” of William Shakespeare that is very famous to enjoys causing trouble and playing tricks on mortals and other fairies alike.

Features

pucktrick is organized in modules, one for error type

each module inludes functions whose name follows this syntax errornametypeDataTYpeTypePercentuageOther where

• errornameType: noisy, inconsitency labels, outlier,
• DataTYpe: continous, discrete, ….
• Typepercentage, (New add new error in the dataframe, Extend add more errors in a prexisting dataframe made dirty by pucktrick,
• Other: eg. fakeValues in case the function add fake values, and so on

Version

versione 0.4

• errortype added: missing values version 0.3 -error type added: duplicated version 0.2

• error type inserted: outliers
  version 0.1

• error type inserted: noisy error and inconsistency labels

Installation

You can install pucktrick using pip:

pip install pucktrick

Usage

to be done

References

Contributing

We welcome contributions from the community. To contribute:

Fork the repository Create a new branch (git checkout -b feature/your-feature) Commit your changes (git commit -am 'Add new feature') Push to the branch (git push origin feature/your-feature) Create a new Pull Request Please ensure your code adheres to our coding standards and includes appropriate tests.

License This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) - see the LICENSE file for details.

Acknowledgements Thanks to the contributors and open-source community for their support.