Factual package intelligence from PyPI

ML-Navigator 0.0.32 package intelligence

ML-Navigator is a tutorial-based Machine Learning framework. The main component of ML-Navigator is the flow. A flow is a collection of compact methods/functions that can be stuck together with guidance texts.

pip install ml-navigator

Current version
0.0.32
Python requirement
>=3.6
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
135.9 KiB
Release history
4 releases with files
Median release cadence
18 days

ML-Navigator dependencies

PyPI declares 100 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. appnope ==0.1.0
  2. atomicwrites ==1.3.0
  3. attrs ==19.1.0
  4. backcall ==0.1.0
  5. bayesian-optimization ==1.0.1
  6. bleach ==3.1.0
  7. blessings ==1.7
  8. bokeh ==1.3.4
  9. category-encoders ==2.0.0
  10. certifi ==2019.6.16
  11. chardet ==3.0.4
  12. Click ==7.0
  13. cloudpickle ==1.2.2
  14. cycler ==0.10.0
  15. decorator ==4.4.0
  16. defusedxml ==0.6.0
  17. distributed ==2.6.0
  18. docutils ==0.15.2
  19. entrypoints ==0.3
  20. Flask ==1.1.1
  21. fsspec ==0.5.2
  22. graphviz ==0.13
  23. HeapDict ==1.0.1
  24. idna ==2.8
  25. importlib-metadata ==0.19

The compact report shows 25 of 100 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ML-Navigator publishes 1 wheel and 1 source archive for version 0.0.32. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .