Add the DIFFI (Depth Based Isolation Forest Feature Importance) Interpretability method to IForest - Githubissues

yzhao062 / pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

http://pyod.readthedocs.io

BSD 2-Clause "Simplified" License

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Add the DIFFI (Depth Based Isolation Forest Feature Importance) Interpretability method to IForest #536

Open FrizzoDavide opened 9 months ago

FrizzoDavide commented 9 months ago

All Submissions Basics:

[ ] Have you followed the guidelines in our Contributing document?
[ ] Have you checked to ensure there aren't other open Pull Requests for the same update/change?
[ ] Have you checked all Issues to tie the PR to a specific one?

All Submissions Cores:

[ ] Have you added an explanation of what your changes do and why you'd like us to include them?
[ ] Have you written new tests for your core changes, as applicable?
[ ] Have you successfully ran tests with your changes locally?
[ ] Does your submission pass tests, including CircleCI, Travis CI, and AppVeyor?
[ ] Does your submission have appropriate code coverage? The cutoff threshold is 95% by Coversall.

New Model Submissions:

[ ] Have you created a .py in ~/pyod/models/?
[ ] Have you created a _example.py in ~/examples/?
[ ] Have you created a test_.py in ~/pyod/test/?
[ ] Have you lint your code locally prior to submission?

coveralls commented 9 months ago

Pull Request Test Coverage Report for Build 7824024576

642 of 669 (95.96%) changed or added relevant lines in 2 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage increased (+0.1%) to 93.898%

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
pyod/test/test_iforest.py	287	294	97.62%
pyod/models/iforest.py	355	375	94.67%
<!--	Total:	642	669	95.96%	-->

Totals
Change from base Build 7823888310:	0.1%
Covered Lines:	9649
Relevant Lines:	10276

💛 - Coveralls

yzhao062 commented 7 months ago

close and re-open it to trigger autotest