The reviewed record of science sign in
Pith

arxiv: 1911.02490 · v2 · pith:A4DPZFIT · submitted 2019-11-06 · cs.LG · stat.ML

OpenML-Python: an extensible Python API for OpenML

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:A4DPZFITrecord.jsonopen to challenge →

classification cs.LG stat.ML
keywords openmllearningmachinepythonexperimentsopenml-pythonresultsdatasets
0
0 comments X
read the original abstract

OpenML is an online platform for open science collaboration in machine learning, used to share datasets and results of machine learning experiments. In this paper we introduce OpenML-Python, a client API for Python, opening up the OpenML platform for a wide range of Python-based tools. It provides easy access to all datasets, tasks and experiments on OpenML from within Python. It also provides functionality to conduct machine learning experiments, upload the results to OpenML, and reproduce results which are stored on OpenML. Furthermore, it comes with a scikit-learn plugin and a plugin mechanism to easily integrate other machine learning libraries written in Python into the OpenML ecosystem. Source code and documentation is available at https://github.com/openml/openml-python/.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks

    cs.LG 2025-02 unverdicted novelty 6.0

    Derives optimal low-rank subspace for Laplace approx in BNNs, provides scalable outperforming version, and new comparison metric.