Skip to main content

A python library for error genration in dataset for machine learning

Project description

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 per evary error type

each module inlude function whose name follows this syntax errornametypeDataTYpeTypePercentuageOther where

  • errornameType: noisy, inconsitency labels, outlier,
  • DataTYpe: continous, discrete, ….
  • Typepercentuage, (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

version 0.1

  • error type inserted: noisy error and inconsistencylabels

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pucktrick-0.1.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pucktrick-0.1-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file pucktrick-0.1.tar.gz.

File metadata

  • Download URL: pucktrick-0.1.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.5

File hashes

Hashes for pucktrick-0.1.tar.gz
Algorithm Hash digest
SHA256 b65b60c9c76e56dff48a3e265ed2a21cf13f4903dd440b34f986a6f341e43576
MD5 25b7d8fe0f9059a25d7262c47d800c12
BLAKE2b-256 535df052e827428b62e04ca65d4b1f27adfa638086ebb8fbe1b5936fba229581

See more details on using hashes here.

File details

Details for the file pucktrick-0.1-py3-none-any.whl.

File metadata

  • Download URL: pucktrick-0.1-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.5

File hashes

Hashes for pucktrick-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dbc231fee6755474dcb35784af3b93f3fdcecaed83614e6d06d97ef92bdd5905
MD5 b02fd9693c50b85080885843fc706297
BLAKE2b-256 61c4a4b5210a31de370168e08de0b24e11b13ffa2849f375a18818d0ed451f3a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page