Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

get rid of warnings in the datalab quickstart tutorial #1053

Open
jwmueller opened this issue Mar 14, 2024 · 2 comments · May be fixed by #1083
Open

get rid of warnings in the datalab quickstart tutorial #1053

jwmueller opened this issue Mar 14, 2024 · 2 comments · May be fixed by #1083
Assignees
Labels
next release Address by next version release

Comments

@jwmueller
Copy link
Member

This tutorial has some minor warnings: https://docs.cleanlab.ai/master/tutorials/datalab/datalab_quickstart.html

Should be easy to get rid of by modifying the dataset appropriately, just make sure the results are still interpretable as for the current dataset

@jwmueller jwmueller added next release Address by next version release and removed enhancement New feature or request needs triage documentation labels May 25, 2024
@jwmueller
Copy link
Member Author

remaining warning:

/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.

@elisno
Copy link
Member

elisno commented Jun 24, 2024

remaining warning:

/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input ...

I'm unable to reproduce this warning locally and on Colab.

image

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
next release Address by next version release
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants