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Added more info to docs

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thomashacker 2023-01-19 13:33:49 +01:00
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2 changed files with 6 additions and 4 deletions
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5
website/docs/api/language.mdx
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@ -346,13 +346,14 @@ and custom registered functions if needed. See the
Perform a "rehearsal" update from a batch of data. Rehearsal updates teach the
current model to make predictions similar to an initial model, to try to address
the "catastrophic forgetting" problem. Please note that this function needs to be used together with `Language.update`. This feature is experimental.
the "catastrophic forgetting" problem. Please note that `Language.rehearse` needs to be used together with `Language.update`. This feature is experimental.
> #### Example
>
> ```python
> optimizer = nlp.resume_training()
> losses = nlp.rehearse(examples, sgd=optimizer)
> update_losses = nlp.update(examples, sgd=optimizer)
> rehearse_losses = nlp.rehearse(examples, sgd=optimizer)
> ```
| Name | Description |

5
website/docs/api/pipe.mdx
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@ -244,14 +244,15 @@ predictions and gold-standard annotations, and update the component's model.
Perform a "rehearsal" update from a batch of data. Rehearsal updates teach the
current model to make predictions similar to an initial model, to try to address
the "catastrophic forgetting" problem. Please note that this function needs to be used together with `TrainablePipe.update`. This feature is experimental.
the "catastrophic forgetting" problem. Please note that `TrainablePipe.update` needs to be used together with `TrainablePipe.update`. This feature is experimental.
> #### Example
>
> ```python
> pipe = nlp.add_pipe("your_custom_pipe")
> optimizer = nlp.resume_training()
> losses = pipe.rehearse(examples, sgd=optimizer)
> update_losses = pipe.update(examples, sgd=optimizer)
> rehearse_losses = pipe.rehearse(examples, sgd=optimizer)
> ```
| Name | Description |