Factual package intelligence from PyPI

TrainIQ 0.1.3 package intelligence

Universal trainiq Library – end-to-end ML/DL pipelines with a single call.

pip install trainiq

Current version
0.1.3
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
113.8 KiB
Release history
3 releases with files
Median release cadence
0 days

TrainIQ dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21
  2. pandas >=1.3
  3. scikit-learn >=1.0
  4. torch >=1.12
  5. torchvision >=0.13
  6. matplotlib >=3.5
  7. Pillow >=9.0
  8. optuna >=3.0

The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

TrainIQ publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

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 .