Factual package intelligence from PyPI

dccc-scoring-model 0.0.4 package intelligence

Example machine learning package from Curtis Lu. Modified from the udemy course: deploying machine learning models

pip install dccc-scoring-model

Current version
0.0.4
Python requirement
>=3.6.0
License
BSD-3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.7 MiB
Release history
3 releases with files
Median release cadence
3 days

dccc-scoring-model dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.19.5
  2. pandas >=1.2.4
  3. pydantic >=1.9.1
  4. strictyaml >=1.6.1
  5. joblib >=1.0.1
  6. xlrd >=2.0.1
  7. scikit-learn >=0.24.1
  8. lightgbm >=3.3.2

Compatibility and release files

dccc-scoring-model publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .