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Fix DependencyParser.predict docs (resolves #3561)

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Ines Montani 2019-05-11 15:37:30 +02:00
parent 25f5592d57
commit 6cfa1e1f47
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website/docs/api/dependencyparser.md
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@ -102,10 +102,10 @@ Apply the pipeline's model to a batch of docs, without modifying them.
> scores = parser.predict([doc1, doc2])
> ```
| Name | Type | Description |
| ----------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `docs` | iterable | The documents to predict. |
| **RETURNS** | tuple | A `(scores, tensors)` tuple where `scores` is the model's prediction for each document and `tensors` is the token representations used to predict the scores. Each tensor is an array with one row for each token in the document. |
| Name | Type | Description |
| ----------- | ------------------- | ---------------------------------------------- |
| `docs` | iterable | The documents to predict. |
| **RETURNS** | `syntax.StateClass` | A helper class for the parse state (internal). |
## DependencyParser.set_annotations {#set_annotations tag="method"}