paris-saclay-cds / ramp-workflow

Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
https://paris-saclay-cds.github.io/ramp-docs/
BSD 3-Clause "New" or "Revised" License
68 stars 43 forks source link

Empty commit #328

Closed frcaud closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Base: 83.16% // Head: 80.82% // Decreases project coverage by -2.35% :warning:

Coverage data is based on head (04e08f1) compared to base (4a8d2e5). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #328 +/- ## ========================================== - Coverage 83.16% 80.82% -2.35% ========================================== Files 137 137 Lines 4752 4948 +196 ========================================== + Hits 3952 3999 +47 - Misses 800 949 +149 ``` | [Impacted Files](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds) | Coverage Δ | | |---|---|---| | [rampwf/hyperopt/hyperopt.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL2h5cGVyb3B0L2h5cGVyb3B0LnB5) | `98.67% <100.00%> (+0.02%)` | :arrow_up: | | [rampwf/score\_types/clustering\_efficiency.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL3Njb3JlX3R5cGVzL2NsdXN0ZXJpbmdfZWZmaWNpZW5jeS5weQ==) | `100.00% <100.00%> (ø)` | | | [rampwf/externals/tabulate.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL2V4dGVybmFscy90YWJ1bGF0ZS5weQ==) | `15.58% <0.00%> (-0.21%)` | :arrow_down: | | [rampwf/hyperopt/cli/hyperopt.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL2h5cGVyb3B0L2NsaS9oeXBlcm9wdC5weQ==) | `0.00% <0.00%> (ø)` | | | [rampwf/hyperopt/tests/test\_hyperparameter.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL2h5cGVyb3B0L3Rlc3RzL3Rlc3RfaHlwZXJwYXJhbWV0ZXIucHk=) | `100.00% <0.00%> (ø)` | | | [rampwf/prediction\_types/combined.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL3ByZWRpY3Rpb25fdHlwZXMvY29tYmluZWQucHk=) | `97.72% <0.00%> (+0.05%)` | :arrow_up: | | [rampwf/tests/test\_kits.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL3Rlc3RzL3Rlc3Rfa2l0cy5weQ==) | `97.22% <0.00%> (+0.12%)` | :arrow_up: | | [rampwf/prediction\_types/detection.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL3ByZWRpY3Rpb25fdHlwZXMvZGV0ZWN0aW9uLnB5) | `85.32% <0.00%> (+0.13%)` | :arrow_up: | | [rampwf/prediction\_types/multiclass.py](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds#diff-cmFtcHdmL3ByZWRpY3Rpb25fdHlwZXMvbXVsdGljbGFzcy5weQ==) | `95.74% <0.00%> (+0.18%)` | :arrow_up: | | ... and [6 more](https://codecov.io/gh/paris-saclay-cds/ramp-workflow/pull/328?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=paris-saclay-cds) | | 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=paris-saclay-cds). 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=paris-saclay-cds)

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frcaud commented 1 year ago

all green, thanks @rth