# scikit-learn-bench-contrib

**Repository Path**: mirrors_IntelPython/scikit-learn-bench-contrib

## Basic Information

- **Project Name**: scikit-learn-bench-contrib
- **Description**: Benchmark suite for scikit-learn performances
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-25
- **Last Updated**: 2026-01-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DISCONTINUATION OF PROJECT #
This project will no longer be maintained by Intel.
Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.
Intel no longer accepts patches to this project.
# scikit-learn_benchmarks
Benchmark suite for scikit-learn performances using [airspeed velocity](https://asv.readthedocs.io/en/stable/).

To get started, 

* install miniconda and make sure that the conda command is in your path: `export PATH=${HOME}/miniconda/bin:${PATH}`
* install asv via pip
* clone and move to this repository `git clone https://github.com/jeremiedbb/scikit-learn_benchmarks.git 
* then run `asv run` (see the docs to change the environments config or run only selected benchmarks)
* to publish the results in html format, run `asv publish` and `asv preview`