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* Add training option to set annotations on update Add a `[training]` option called `set_annotations_on_update` to specify a list of components for which the predicted annotations should be set on `example.predicted` immediately after that component has been updated. The predicted annotations can be accessed by later components in the pipeline during the processing of the batch in the same `update` call. * Rename to annotates / annotating_components * Add test for `annotating_components` when training from config * Add documentation |
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| .. | ||
| 101 | ||
| _benchmarks-models.md | ||
| embeddings-transformers.md | ||
| facts-figures.md | ||
| index.md | ||
| layers-architectures.md | ||
| linguistic-features.md | ||
| models.md | ||
| processing-pipelines.md | ||
| projects.md | ||
| rule-based-matching.md | ||
| saving-loading.md | ||
| spacy-101.md | ||
| training.md | ||
| v2-1.md | ||
| v2-2.md | ||
| v2-3.md | ||
| v2.md | ||
| v3.md | ||
| visualizers.md | ||