Skip to main content

Important variables determined through data-based variable importance methods

Project description

PermutationImportance

Build Status Documentation Status

PermutationImportance Logo

Welcome to the PermutationImportance library!

PermutationImportance is a Python package for Python 2.7 and 3.6+ which provides several methods for computing data-based predictor importance. The methods implemented are model-agnostic and can be used for any machine learning model in many stages of development. The complete documentation can be found at our Read The Docs.

Version History

  • 1.2.1.8: Shuffled pandas dataframes now retain the proper row indexing
  • 1.2.1.7: Fixed a bug where pandas dataframes were being unshuffled when concatenated
  • 1.2.1.5: Added documentation and examples and ensured compatibility with Python 3.5+
  • 1.2.1.4: Original scores are now also bootstrapped to match the other results
  • 1.2.1.3: Corrected an issue with multithreading deadlock when returned scores were too large
  • 1.2.1.1: Provided object to assist in constructing scoring strategies
    • Also added two new strategies with bootstrapping support
  • 1.2.1.0: Metrics can now accept kwargs and support bootstrapping
  • 1.2.0.0: Added support for Sequential Selection and completely revised backend for proper abstraction and extension
    • Return object now keeps track of (context, result) pairs
    • abstract_variable_importance enables implementation of custom variable importance methods
    • Backend is now correctly multithreaded (when specified) and is OS-independent
  • 1.1.0.0: Revised return object of Permutation Importance to support easy retrieval of Breiman- and Lakshmanan-style importances
  • 1.0.0.0: Published with pip support!

Project details


Download files

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

Files for PermutationImportance, version 1.2.1.8
Filename, size File type Python version Upload date Hashes
Filename, size PermutationImportance-1.2.1.8-py2.py3-none-any.whl (50.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size PermutationImportance-1.2.1.8.tar.gz (22.6 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page