Factual package intelligence from PyPI

classification-confidence-intervals 1.0.2 package intelligence

A package to calculate confidence intervals for classification positive rate, precision, NPV, and recall using a labeled sample of the population via exact & approximate Frequentist & Bayesian setups.

pip install classification-confidence-intervals

Current version
1.0.2
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
18.7 KiB
Release history
2 releases with files
Median release cadence
17 days

classification-confidence-intervals dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.2.2
  2. numpy >=1.19.0
  3. scipy >=1.5.0
  4. seaborn >=0.10.1

Compatibility and release files

classification-confidence-intervals publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.

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 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 .