Factual package intelligence from PyPI

metats 0.2.1 package intelligence

Meta-Learning for Time Series Forecasting

pip install metats

Current version
0.2.1
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.8 KiB
Release history
3 releases with files
Median release cadence
137 days

metats dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.12.1
  2. umap-learn >=0.5.3
  3. darts >=0.20.0
  4. lightgbm >=3.2.1
  5. matplotlib >=3.4.2
  6. numba >=0.55.1
  7. numpy ==1.23.5
  8. pandas >=1.2.4
  9. pbr >=5.11.1
  10. pdoc >=12.0.2
  11. scikit-learn >=1.0.2
  12. scipy >=1.6.3
  13. seaborn >=0.11.1
  14. shap >=0.40.0
  15. sktime >=0.10.0
  16. tqdm >=4.60.0
  17. tsfresh ==0.19.0
  18. statsforecast >=1.5.0

Compatibility and release files

metats 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: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .