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Change make_samples
of RNNNet
and MLPNet
to speed up the conversion of data into torch.Dataset
#1281
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🚀 Deployed on https://deploy-preview-1281--etna-docs.netlify.app |
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## master #1281 +/- ##
==========================================
- Coverage 88.06% 87.73% -0.33%
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Files 187 187
Lines 10822 10825 +3
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- Hits 9530 9497 -33
- Misses 1292 1328 +36
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Everything is good, check the questions above.
CHANGELOG.md
Outdated
@@ -17,7 +17,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 | |||
- Inherit `SaveMixin` from `AbstractSaveable` for mypy checker ([#1261](https://github.com/tinkoff-ai/etna/pull/1261)) | |||
- Update requirements for `holidays` and `scipy`, change saving library from `pickle` to `dill` in `SaveMixin` ([#1268](https://github.com/tinkoff-ai/etna/pull/1268)) | |||
- Update requirement for `ruptures`, add requirement for `sqlalchemy` ([#1276](https://github.com/tinkoff-ai/etna/pull/1276)) | |||
- | |||
- `make_samples` of `RNNNet` and `MLPNet` ([#1281](https://github.com/tinkoff-ai/etna/pull/1281)) |
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Better to write:
Optimize make_samples
...
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Done.
Before submitting (must do checklist)
Proposed Changes
Closing issues
Closes #1278