Factual package intelligence from PyPI

optimalflow 0.1.11 package intelligence

OptimalFlow is an Omni-ensemble Automated Machine Learning toolkit to help data scientists building optimal models in easy way, and automate Machine Learning workflow with simple code.

pip install optimalflow

Current version
0.1.11
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.5 MiB
Release history
13 releases with files
Median release cadence
2 days

optimalflow dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. scikit-learn
  3. statsmodels
  4. scipy
  5. joblib
  6. category-encoders
  7. plotly
  8. flask
  9. wtforms
  10. werkzeug
  11. matplotlib

Compatibility and release files

optimalflow publishes 1 wheel and 1 source archive for version 0.1.11. Wheel platform tags: any.

Declared Python classifiers: 3.8.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .