Factual package intelligence from PyPI

deep-xf 0.0.5 package intelligence

DEEPXF - An open-source, low-code explainable forecasting and nowcasting library with state-of-the-art deep neural networks and Dynamic Factor Model. Now available with additional addons like Denoising TS signals with ensembling of filters, TS signal similarity test with Siamese

pip install deep-xf

Current version
0.0.5
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
60.3 KiB
Release history
5 releases with files
Median release cadence
1 days

deep-xf dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ipython
  2. jupyter
  3. tqdm
  4. pandas
  5. matplotlib
  6. seaborn ==0.9.0
  7. scikit-learn >=0.24.0
  8. pandas-profiling
  9. statsmodels ==0.12.2
  10. keras
  11. torch
  12. shap ==0.39.0
  13. py-ecg-detectors

Compatibility and release files

deep-xf publishes 1 wheel and 1 source archive for version 0.0.5. 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 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 .