Factual package intelligence from PyPI

xai4tsc 1.1.0 package intelligence

An evaluation framework for eXplainable AI (XAI) methods applied to Time Series Classification (TSC).

pip install xai4tsc

Current version
1.1.0
Python requirement
<3.14,>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
182.2 KiB
Release history
2 releases with files
Median release cadence
3 days

xai4tsc dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. captum <0.9.0,>=0.8.0
  2. matplotlib <4.0.0,>=3.10.5
  3. pyyaml <7.0.0,>=6.0.2
  4. quantus <0.7.0,>=0.6.0
  5. scikit-learn >=1.6
  6. sktime <0.41.0,>=0.40.1

Compatibility and release files

xai4tsc publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13.

Security snapshot for xai4tsc 1.1.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .