nn-models typings fix #840
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added 6 commits
June 28, 2022 15:03
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@@ Coverage Diff @@
## master #840 +/- ##
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- Coverage 84.64% 84.64% -0.01%
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Files 130 130
Lines 7450 7455 +5
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+ Hits 6306 6310 +4
- Misses 1144 1145 +1
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martins0n
suggested changes
Aug 10, 2022
| @@ -820,4 +820,70 @@ def get_model(self) -> "DeepBaseNet": | |||
| return self.net | |||
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| BaseModel = Union[PerSegmentModel, PerSegmentPredictionIntervalModel, MultiSegmentModel, DeepBaseModel] | |||
| class MultiSegmentPredictionIntervalModel(FitAbstractModel, PredictIntervalAbstractModel, BaseMixin): | |||
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It seems we need just empty class without any implementation.
Downstream classes has implemented own logic already. Seems we can't share it
martins0n
suggested changes
Aug 10, 2022
etna/models/nn/tft.py
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| @@ -26,7 +26,7 @@ | |||
| from pytorch_lightning import LightningModule | |||
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| class TFTModel(Model, PredictIntervalAbstractModel, _DeepCopyMixin): | |||
| class TFTModel(Model, MultiSegmentPredictionIntervalModel, _DeepCopyMixin): | |||
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We don't need Model here, I guess it's already in MultiSegmentPredictionIntervalModel?
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Before submitting (must do checklist)
Proposed Changes
Closing issues
closes #768