search

sissa-data-science / DADApy

Distance-based Analysis of DAta-manifolds in python
https://dadapy.readthedocs.io/
Apache License 2.0
103 stars 18 forks source link

adding naive outlier detection to mus gride #80

Closed diegodoimo closed 2 years ago

codecov-commenter commented 2 years ago

Codecov Report

Base: 80.51% // Head: 82.81% // Increases project coverage by +2.29% :tada:

Coverage data is based on head (dda0f58) compared to base (fe3f2a2). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #80 +/- ## ========================================== + Coverage 80.51% 82.81% +2.29% ========================================== Files 10 7 -3 Lines 1437 1117 -320 ========================================== - Hits 1157 925 -232 + Misses 280 192 -88 ``` | [Impacted Files](https://codecov.io/gh/sissa-data-science/DADApy/pull/80?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [dadapy/\_utils/utils.py](https://codecov.io/gh/sissa-data-science/DADApy/pull/80/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-ZGFkYXB5L191dGlscy91dGlscy5weQ==) | `60.56% <100.00%> (+1.43%)` | :arrow_up: | | [dadapy/metric\_comparisons.py](https://codecov.io/gh/sissa-data-science/DADApy/pull/80/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-ZGFkYXB5L21ldHJpY19jb21wYXJpc29ucy5weQ==) | | | | [dadapy/density\_estimation.py](https://codecov.io/gh/sissa-data-science/DADApy/pull/80/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-ZGFkYXB5L2RlbnNpdHlfZXN0aW1hdGlvbi5weQ==) | | | | [dadapy/\_\_init\_\_.py](https://codecov.io/gh/sissa-data-science/DADApy/pull/80/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-ZGFkYXB5L19faW5pdF9fLnB5) | | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None)

:umbrella: View full report at Codecov.
:loudspeaker: Do you have feedback about the report comment? Let us know in this issue.