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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

Provide meta information about the reports #472

Closed frances-h closed 1 year ago

frances-h commented 1 year ago

CU-860q8k97g

codecov-commenter commented 1 year ago

Codecov Report

All modified lines are covered by tests :white_check_mark:

Comparison is base (bc92a5e) 76.84% compared to head (94e8302) 76.96%.

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #472 +/- ## ========================================== + Coverage 76.84% 76.96% +0.11% ========================================== Files 93 93 Lines 3395 3412 +17 ========================================== + Hits 2609 2626 +17 Misses 786 786 ``` | [Files](https://app.codecov.io/gh/sdv-dev/SDMetrics/pull/472?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [sdmetrics/reports/base\_report.py](https://app.codecov.io/gh/sdv-dev/SDMetrics/pull/472?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c2RtZXRyaWNzL3JlcG9ydHMvYmFzZV9yZXBvcnQucHk=) | `99.10% <100.00%> (+0.15%)` | :arrow_up: |

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npatki commented 1 year ago

Unfortunately, I think you can only transfer issues within a single organization (like sdv-dev)n