Factual package intelligence from PyPI

dynamask 0.0.1 package intelligence

Dynamask - Explaining Time Series Predictions with Dynamic Masks

pip install dynamask

Current version
0.0.1
Python requirement
Not declared
License
MIT
Distribution type
Includes compiled wheel
Release files
2 (2 wheels, 0 source)
Download size
181.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

dynamask dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. captum >=0.3.0
  2. lime >=0.2.0.1
  3. numpy >=1.19.2
  4. pandas >=1.1.3
  5. psycopg2-binary
  6. scikit-learn >=0.23.2
  7. scipy >=1.5.2
  8. seaborn >=0.11.0
  9. statsmodels >=0.12.1
  10. torch >=1.7.1
  11. tqdm >=4.61.0
  12. importlib-metadata when python_version < "3.8"

Compatibility and release files

dynamask publishes 2 wheels and 0 source archives for version 0.0.1. Wheel platform tags: any, macosx_10_14_x86_64.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .