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CI failing because of fetch_openml(name='miceprotein', version=4)

See original GitHub issue

The CI is failing everywhere, because the following is failing everywhere

from sklearn.datasets import fetch_openml
fetch_openml(name='miceprotein', version=4)

even tho the dataset exist: https://www.openml.org/d/40966

Issue Analytics

State:
Created 3 years ago
Comments:6 (6 by maintainers)

Top GitHub Comments

1reaction

thomasjpfancommented, Dec 23, 2020

When I was looking at this, I was able to reproduce the error locally. (I am seeing this again on some PRs)

We normally do not run network test on CI in PRs. Maybe we can skip this by default and only have it run nightly.

0reactions

ogriselcommented, Dec 23, 2020

Maybe we can skip this by default and only have it run nightly.

Top Results From Across the Web

Question about fetch_openml in scikit-Learn - Stack Overflow

0 and Python 3.8. When I run, mice = fetch_openml(name='miceprotein', version=4). I get this error message:

sklearn.datasets.fetch_openml

If data_id is not given, name (and potential version) are used to obtain a dataset. data_homestr, default=None. Specify another download and cache folder...

Analysis Report scikit_learn-0.22.2.post1-cp37-cp37m ...

Name : scikit-learn.Version: 0.22.2.post1.Summary: A set of python modules for machine learning and data mining.Home-page: http://scikit-learn.org.

6. Dataset loading utilities — scikit-learn 0.21.3 documentation

6.2.4. Optical recognition of handwritten digits dataset¶ ... sklearn.datasets import fetch_openml >>> mice = fetch_openml(name='miceprotein', version=4).