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Fix v3 overview [ci skip]

This commit is contained in:
Ines Montani 2020-11-03 18:10:06 +01:00
parent 1c4df8fd09
commit 019a1dd5e8
1 changed files with 5 additions and 5 deletions
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website/docs/usage/v3.md
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@ -433,14 +433,14 @@ The following methods, attributes and commands are new in spaCy v3.0.
| Name | Description |
| ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [`Token.lex`](/api/token#attributes) | Access a token's [`Lexeme`](/api/lexeme). |
| [`Token.morph`](/api/token#attributes), [`Token.morph_`](/api/token#attributes) | Access a token's morphological analysis. |
| [`Token.morph`](/api/token#attributes) | Access a token's morphological analysis. |
| [`Doc.has_annotation`](/api/doc#has_annotation) | Check whether a doc has annotation on a token attribute. |
| [`Language.select_pipes`](/api/language#select_pipes) | Context manager for enabling or disabling specific pipeline components for a block. |
| [`Language.disable_pipe`](/api/language#disable_pipe), [`Language.enable_pipe`](/api/language#enable_pipe) | Disable or enable a loaded pipeline component (but don't remove it). |
| [`Language.analyze_pipes`](/api/language#analyze_pipes) | [Analyze](/usage/processing-pipelines#analysis) components and their interdependencies. |
| [`Language.resume_training`](/api/language#resume_training) | Experimental: continue training a trained pipeline and initialize "rehearsal" for components that implement a `rehearse` method to prevent catastrophic forgetting. |
| [`@Language.factory`](/api/language#factory), [`@Language.component`](/api/language#component) | Decorators for [registering](/usage/processing-pipelines#custom-components) pipeline component factories and simple stateless component functions. |
| [`Language.has_factory`](/api/language#has_factory) | Check whether a component factory is registered on a language class. |
| [`Language.has_factory`](/api/language#has_factory) | Check whether a component factory is registered on a language class. |
| [`Language.get_factory_meta`](/api/language#get_factory_meta), [`Language.get_pipe_meta`](/api/language#get_factory_meta) | Get the [`FactoryMeta`](/api/language#factorymeta) with component metadata for a factory or instance name. |
| [`Language.config`](/api/language#config) | The [config](/usage/training#config) used to create the current `nlp` object. An instance of [`Config`](https://thinc.ai/docs/api-config#config) and can be saved to disk and used for training. |
| [`Language.components`](/api/language#attributes), [`Language.component_names`](/api/language#attributes) | All available components and component names, including disabled components that are not run as part of the pipeline. |
@ -1032,9 +1032,9 @@ change your names and imports:
Thanks to everyone who's been contributing to the spaCy ecosystem by developing
and maintaining one of the many awesome [plugins and extensions](/universe).
We've tried to make it as easy as possible for you to upgrade your packages for
spaCy v3.0. The most common use case for plugins is providing pipeline components
and extension attributes. When migrating your plugin, double-check the
following:
spaCy v3.0. The most common use case for plugins is providing pipeline
components and extension attributes. When migrating your plugin, double-check
the following:
- Use the [`@Language.factory`](/api/language#factory) decorator to register
your component and assign it a name. This allows users to refer to your