Factual package intelligence from PyPI

ml-stars 0.2.3 package intelligence

Primitives and Pipelines for Time Series Data.

pip install ml-stars

Current version
0.2.3
Python requirement
<3.13,>=3.8
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
150.2 KiB
Release history
19 releases with files
Median release cadence
5 days

ml-stars dependencies

PyPI declares 43 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. Keras <4,>=2.4
  2. mlblocks >=0.6.2
  3. numpy <2,>=1.17.4
  4. pandas <3,>=1
  5. scikit-learn <2,>=0.22
  6. scipy <2,>=1.4.1
  7. statsmodels <0.15,>=0.12.0
  8. tensorflow <3,>=2.2
  9. xgboost <2,>=0.72.1
  10. protobuf <4

The compact report shows 18 of 43 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ml-stars publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 19 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .