Factual package intelligence from PyPI

mlcli-toolkit 0.3.1 package intelligence

A production-ready CLI toolkit for training, evaluating, and tracking Machine Learning and Deep Learning models with experiment tracking, hyperparameter tuning, model explainability, and an interactive TUI

pip install mlcli-toolkit

Current version
0.3.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
231.4 KiB
Release history
5 releases with files
Median release cadence
5 days

mlcli-toolkit dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib >=1.1
  2. numpy <2.0,>=1.24
  3. onnx >=1.14
  4. onnxruntime >=1.15
  5. pandas >=2.0
  6. plotext >=5.0
  7. pyyaml >=6.0
  8. rich-click >=1.6.0
  9. scikit-learn >=1.0
  10. skl2onnx >=1.14
  11. tensorflow >=2.10
  12. textual >=0.40.0
  13. typer >=0.7.0
  14. xgboost >=1.7
  15. lightgbm >=4.0.0
  16. catboost >=1.2.0
  17. statsmodels >=0.14.0
  18. prophet >=1.1.0

Compatibility and release files

mlcli-toolkit publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .