Skip to main content

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!

Metadata

Release files for PermutationImportance 1.2.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PermutationImportance 1.2.1.8
File Size Uploaded
PermutationImportance-1.2.1.8.tar.gz 22.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PermutationImportance 1.2.1.8
File Interpreter ABI Platform
PermutationImportance-1.2.1.8-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 73.1 kB

Release files / PermutationImportance-1.2.1.8.tar.gz

Download URL PermutationImportance-1.2.1.8.tar.gz
Size 22.6 kB
Tags Source
SHA-256 checksum
How to use checksums
75bfcee425522f799a3fc4ea3844758ae791b8cc56c421860a96c297cc193d09
BLAKE2b-256 checksum
How to use checksums
447883c67e1d2f88808904762e3521aecdfe9bfd08505fa9b1f2629a1c7b6e32
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.6.6

Release files / PermutationImportance-1.2.1.8-py2.py3-none-any.whl

Download URL PermutationImportance-1.2.1.8-py2.py3-none-any.whl
Size 50.5 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
9bd25c2ed7c0bec557eb8b45ccbe30f0d58eb71580fcb4ee084d3c387ceb4fd2
BLAKE2b-256 checksum
How to use checksums
e40d9e61173189a1d9bab617aaa40edea8a76de02e2b94d2f8b5ba6a2f90c1d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.6.6
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page