Factual package intelligence from PyPI

gradhpo 0.1.3 package intelligence

gradhpo: gradient-based hyperparameter optimization in JAX. Implements T1-T2/DARTS, Greedy and HyperDistill bilevel algorithms.

pip install gradhpo

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

gradhpo dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <3.0,>=1.24.0
  2. scipy <2.0,>=1.10.0
  3. scikit-learn <2.0,>=1.3.0
  4. jax <1.0,>=0.4.25
  5. jaxlib <1.0,>=0.4.25
  6. optax <1.0,>=0.1.7
  7. chex <1.0,>=0.1.8
  8. typing-extensions <5.0,>=4.5.0

Compatibility and release files

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

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

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 .