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sdv-dev / SDMetrics

Metrics to evaluate quality and efficacy of synthetic datasets.
https://docs.sdv.dev/sdmetrics
MIT License
210 stars 45 forks source link

Better extra categoricals warning message #323

Closed frances-h closed 1 year ago

frances-h commented 1 year ago

Resolve #315

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage: 93.54% and project coverage change: +0.17 :tada:

Comparison is base (d5af0d1) 75.25% compared to head (30adeb3) 75.42%.

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #323 +/- ## ========================================== + Coverage 75.25% 75.42% +0.17% ========================================== Files 74 74 Lines 2998 3024 +26 ========================================== + Hits 2256 2281 +25 - Misses 742 743 +1 ``` | [Impacted Files](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [sdmetrics/reports/utils.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvdXRpbHMucHk=) | `98.62% <91.66%> (-0.87%)` | :arrow_down: | | [sdmetrics/reports/multi\_table/diagnostic\_report.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvbXVsdGlfdGFibGUvZGlhZ25vc3RpY19yZXBvcnQucHk=) | `95.86% <100.00%> (+0.02%)` | :arrow_up: | | [sdmetrics/reports/multi\_table/quality\_report.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvbXVsdGlfdGFibGUvcXVhbGl0eV9yZXBvcnQucHk=) | `96.38% <100.00%> (+0.02%)` | :arrow_up: | | [...dmetrics/reports/single\_table/diagnostic\_report.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvc2luZ2xlX3RhYmxlL2RpYWdub3N0aWNfcmVwb3J0LnB5) | `98.18% <100.00%> (+0.01%)` | :arrow_up: | | [sdmetrics/reports/single\_table/quality\_report.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvc2luZ2xlX3RhYmxlL3F1YWxpdHlfcmVwb3J0LnB5) | `99.11% <100.00%> (+<0.01%)` | :arrow_up: | | [sdmetrics/utils.py](https://codecov.io/gh/sdv-dev/SDMetrics/pull/323?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3V0aWxzLnB5) | `91.15% <100.00%> (+0.71%)` | :arrow_up: | 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)

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