shenweichen / DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
https://deepctr-torch.readthedocs.io/en/latest/index.html
Apache License 2.0
3k stars 703 forks source link

support python 3.9/3.10 #259

Closed shenweichen closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Base: 92.58% // Head: 92.56% // Decreases project coverage by -0.01% :warning:

Coverage data is based on head (458dff4) compared to base (19e09e4). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## release #259 +/- ## =========================================== - Coverage 92.58% 92.56% -0.02% =========================================== Files 35 30 -5 Lines 2333 2274 -59 =========================================== - Hits 2160 2105 -55 + Misses 173 169 -4 ``` | Flag | Coverage Δ | | |---|---|---| | pytest | `92.56% <100.00%> (-0.02%)` | :arrow_down: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#carryforward-flags-in-the-pull-request-comment) to find out more. | [Impacted Files](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6) | Coverage Δ | | |---|---|---| | [deepctr\_torch/models/fibinet.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvZmliaW5ldC5weQ==) | `89.79% <100.00%> (ø)` | | | [deepctr\_torch/models/dcnmix.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvZGNubWl4LnB5) | `86.36% <0.00%> (-2.01%)` | :arrow_down: | | [deepctr\_torch/models/autoint.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvYXV0b2ludC5weQ==) | `93.87% <0.00%> (-1.96%)` | :arrow_down: | | [deepctr\_torch/models/dcn.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvZGNuLnB5) | `73.80% <0.00%> (-1.81%)` | :arrow_down: | | [deepctr\_torch/\_\_init\_\_.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9fX2luaXRfXy5weQ==) | | | | [deepctr\_torch/models/\_\_init\_\_.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvX19pbml0X18ucHk=) | | | | [deepctr\_torch/utils.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC91dGlscy5weQ==) | | | | [deepctr\_torch/layers/\_\_init\_\_.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9sYXllcnMvX19pbml0X18ucHk=) | | | | [deepctr\_torch/models/multitask/\_\_init\_\_.py](https://codecov.io/gh/shenweichen/DeepCTR-Torch/pull/259/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=%E6%B5%85%E6%A2%A6#diff-ZGVlcGN0cl90b3JjaC9tb2RlbHMvbXVsdGl0YXNrL19faW5pdF9fLnB5) | | | 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=%E6%B5%85%E6%A2%A6). 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=%E6%B5%85%E6%A2%A6)

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