PR comparison: sklearn-dev@cakedev0:ridge/optim_cholesky vs sklearn-dev@scikit-learn:main

Hardware

CPU

Intel(R) Xeon(R) 6787P

X86_64, 172 physical cores, 344 logical CPUs

499 GB RAM

GPU(s)

No GPU detected.

sklearn-dev@scikit-learn:main

Python 3.12.13

Packages

  • scikit-learn @ 1.8.0rc1-779-gae50210b66
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-dev@cakedev0:ridge/optim_cholesky

Python 3.12.13

Packages

  • scikit-learn @ 2053577a2
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

Detailed results