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

Tree Map: error rate / error coverage equal for every node #1594

Closed
gbayomi opened this issue Jul 29, 2022 · 2 comments
Closed

Tree Map: error rate / error coverage equal for every node #1594

gbayomi opened this issue Jul 29, 2022 · 2 comments

Comments

@gbayomi
Copy link

gbayomi commented Jul 29, 2022

Describe the bug
Running through the example notebooks (wine/breast cancer), the tree map shows the same value error value for all nodes.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ErrorAnalysisDashboard for any classification task under the example notebooks.

Expected behavior
It's expected to show different values for each node.

Screenshots

Screen Shot 2022-07-28 at 6 21 07 PM

Desktop (please complete the following information):

  • OS: MacOS Big Sur
  • Browser: Chrome (Jupyter Notebook)
  • Python version: 3.7.13
  • raiwidgets and responsibleai package versions: 0.20.0
@imatiach-msft
Copy link
Contributor

imatiach-msft commented Jul 29, 2022

@gbayomi yes sorry, I broke it with the 0.3.5 pypi release of erroranalysis package 2 days ago:
https://pypi.org/project/erroranalysis/0.3.5/#history
I already fixed the issue yesterday in the PR:
#1593
Which was a bug introduced in the previous PR:
#1562
I will do a new erroranalysis package release as soon as it's merged.

For now you can work around the issue by running the version just before 0.3.5 via:

pip install erroranalysis==0.3.4

@imatiach-msft
Copy link
Contributor

Bug has been fixed with merged PR:
#1593
The fix will be in 0.3.6 release of erroranalysis package. To get latest, run:
pip install erroranalysis==0.3.6
Or similarly just get latest via:
pip install --upgrade erroranalysis

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

No branches or pull requests

2 participants