Factual package intelligence from PyPI

sbr-model 0.2.1 package intelligence

Un regresor de Machine Learning que implementa un ensamblaje de Stacking con modelos de Boosting.

pip install sbr-model

Current version
0.2.1
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
9.6 KiB
Release history
2 releases with files
Median release cadence
0 days

sbr-model dependencies

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

  1. numpy
  2. scikit-learn
  3. xgboost
  4. lightgbm
  5. catboost
  6. pandas

Compatibility and release files

sbr-model publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: project URL. 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 .

The project does not publish external project URLs in its PyPI metadata.