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Refactor CountVectorizer and ML components to support incremental training #7413

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dakshvar22 opened this issue Nov 30, 2020 · 0 comments
Closed
3 tasks done

Refactor CountVectorizer and ML components to support incremental training #7413

dakshvar22 opened this issue Nov 30, 2020 · 0 comments
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area:rasa-oss/ml 👁 All issues related to machine learning type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR

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dakshvar22 commented Nov 30, 2020 •
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Part of #6971

  • Add buffer tokens to vocabulary of CountVectorsFeaturizer and RegexFeaturizer which can be used during incremental training.
  • Load DIET, ResponseSelector and TED from previously trained checkpoints so get them ready for further fine-tuning.
  • Add tests for the above.

The logic for first two are already implemented in this working version branch. However, the implementation needs to be adapted to changes introduced by related PRs - #7328 , #7329 and #7330
@dakshvar22 dakshvar22 added type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR area:rasa-oss 🎡 Anything related to the open source Rasa framework area:rasa-oss/ml 👁 All issues related to machine learning and removed area:rasa-oss 🎡 Anything related to the open source Rasa framework labels Nov 30, 2020
@dakshvar22 dakshvar22 self-assigned this Nov 30, 2020
This was referenced Nov 30, 2020
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area:rasa-oss/ml 👁 All issues related to machine learning type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR
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