Factual package intelligence from PyPI

genboostgpu 0.3.0 package intelligence

GENBoostGPU provides a scalable framework for running elastic net regression with boosting across thousands of CpG sites, leveraging GPU acceleration with RAPIDS cuML, CuPy, and cuDF.

pip install genboostgpu

Current version
0.3.0
Python requirement
<4.0,>=3.10
License
GPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
63.0 KiB
Release history
4 releases with files
Median release cadence
31 days

genboostgpu dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cudf-cu12 <26.0.0,>=25.8.0
  2. cuml-cu12 <26.0.0,>=25.8.0
  3. dask-cuda <26.0.0,>=25.8.0
  4. pandas <3.0.0,>=2.3.2
  5. cupy-cuda12x <14.0.0,>=13.3.0
  6. numpy <2.3.0
  7. pandas-plink <3.0.0,>=2.3.2
  8. optuna <5.0.0,>=4.5.0
  9. scikit-learn <2.0.0,>=1.7.2
  10. numba <0.62

Compatibility and release files

genboostgpu publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

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 .