Factual package intelligence from PyPI

resampling-techniques 1.5 package intelligence

A custom statistics library/ reshuffing technqiues for chi-abs, boostrapting analysis and other statistical functions.

pip install resampling-techniques

Current version
1.5
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

resampling-techniques dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.18.5
  2. pandas >=1.0.5
  3. scipy >=1.5.0
  4. matplotlib >=3.2.2
  5. statsmodels >=0.11.1
  6. scikit-learn >=0.23.1
  7. seaborn >=0.10

Compatibility and release files

resampling-techniques publishes 1 wheel and 1 source archive for version 1.5. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8, 3.9.

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 .