Giter VIP home page Giter VIP logo

scikit-learn-benchmarks's Introduction

.github/workflows/check_last_run.yml

scikit-learn-benchmarks

The results of scikit-learn asv benchmarks are automatically published every day on the following dashboard:

https://scikit-learn.org/scikit-learn-benchmarks/

Major changes

  • May 22nd 2023: switch from conda default channel to conda-forge; upgrade Python version from 3.8 to latest. A consequence is that for these benchmarks Scikit-learn now uses OpenBLAS (previously MKL) which explains the discrpency in the timeline.

scikit-learn-benchmarks's People

Contributors

ibayer avatar jeremiedbb avatar ogrisel avatar sklearn-benchmark-bot avatar vene avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

scikit-learn-benchmarks's Issues

Repurpose this repo to host asv benchmark results

@scikit-learn/core-devs are you still ok to repurpose this repo (inactive since 2013) to host results from regular runs of the new asv benchmark suite as discussed in a previous core dev meeting ?

If so, what should be done with it's content ? just delete it (it's still in its forks if ever needed) ?

do you mind if I push directly and not use the PR scheme ? it'll make it faster to iterate quickly to set it up.

Also, it will not be my github account who will be pushing the new results here but https://github.com/sklearn-benchmark-bot. Is it ok if I add it as a collaborator (on this repo only) with push permission ?

is this active?

I am looking for ways that different projects do continuous performance regression testing. I've heard that scikit-learn does this. Is this the github project that is associated with scikit-learn's vbench'ing?

vbench missing some classes

And here they are...

This is using your vbench repository.

[erg@pliny scikit-learn-speed]$ [master*] make PYTHON=python2
python2 benchmarks/run_suite.py quick
Traceback (most recent call last):
  File "benchmarks/run_suite.py", line 11, in <module>
    benchmarks, _ = gather(quick=quick)
  File "/home/erg/python/scikit-learn-speed/benchmarks/suite.py", line 23, in gather
    __import__(mod).__dict__)]
  File "/home/erg/python/scikit-learn-speed/benchmarks/linear_model/__init__.py", line 1, in <module>
    from benchmarks import suite
  File "/home/erg/python/scikit-learn-speed/benchmarks/linear_model/benchmarks.py", line 1, in <module>
    from templates import make_suite as _make_suite
  File "/home/erg/python/scikit-learn-speed/benchmarks/templates.py", line 1, in <module>
    from vbench.benchmark import BenchmarkSuite, PythonBenchmark, \
ImportError: cannot import name PythonBenchmark
make: *** [run] Error 1

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.