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Fix consistency and update docs
This commit is contained in:
Ines Montani
parent
7dfc4bc062
commit
99549a5ace
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@ -60,4 +60,6 @@ def blank(
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RETURNS (Language): The nlp object.
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"""
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LangClass = util.get_lang_class(name)
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# We should accept both dot notation and nested dict here for consistency
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config = util.dot_to_dict(config)
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return LangClass.from_config(config, meta=meta)
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@ -17,7 +17,10 @@ return it.
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## Language.\_\_init\_\_ {#init tag="method"}
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Initialize a `Language` object.
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Initialize a `Language` object. Note that the `meta` is only used for meta
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information in [`Language.meta`](/api/language#meta) and not to configure the
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`nlp` object or to override the config. To initialize from a config, use
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[`Language.from_config`](/api/language#from_config) instead.
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> #### Example
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>
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@ -37,7 +40,7 @@ Initialize a `Language` object.
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| `vocab` | A `Vocab` object. If `True`, a vocab is created using the default language data settings. ~~Vocab~~ |
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| _keyword-only_ | |
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| `max_length` | Maximum number of characters allowed in a single text. Defaults to `10 ** 6`. ~~int~~ |
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| `meta` | Custom meta data for the `Language` class. Is written to by pipelines to add meta data. ~~dict~~ |
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| `meta` | [Meta data](/api/data-formats#meta) overrides. ~~Dict[str, Any]~~ |
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| `create_tokenizer` | Optional function that receives the `nlp` object and returns a tokenizer. ~~Callable[[Language], Callable[[str], Doc]]~~ |
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## Language.from_config {#from_config tag="classmethod" new="3"}
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@ -58,14 +61,16 @@ model under the hood based on its [`config.cfg`](/api/data-formats#config).
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> nlp = Language.from_config(config)
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> ```
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `config` | The loaded config. ~~Union[Dict[str, Any], Config]~~ |
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| _keyword-only_ | |
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| `disable` | List of pipeline component names to disable. ~~Iterable[str]~~ |
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| `auto_fill` | Whether to automatically fill in missing values in the config, based on defaults and function argument annotations. Defaults to `True`. ~~bool~~ |
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| `validate` | Whether to validate the component config and arguments against the types expected by the factory. Defaults to `True`. ~~bool~~ |
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| **RETURNS** | The initialized object. ~~Language~~ |
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `config` | The loaded config. ~~Union[Dict[str, Any], Config]~~ |
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| _keyword-only_ | |
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| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~List[str]~~ |
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| `exclude` | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
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| `meta` | [Meta data](/api/data-formats#meta) overrides. ~~Dict[str, Any]~~ |
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| `auto_fill` | Whether to automatically fill in missing values in the config, based on defaults and function argument annotations. Defaults to `True`. ~~bool~~ |
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| `validate` | Whether to validate the component config and arguments against the types expected by the factory. Defaults to `True`. ~~bool~~ |
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| **RETURNS** | The initialized object. ~~Language~~ |
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## Language.component {#component tag="classmethod" new="3"}
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@ -797,10 +802,19 @@ token.ent_iob, token.ent_type
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## Language.meta {#meta tag="property"}
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Custom meta data for the Language class. If a trained pipeline is loaded, this
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Meta data for the `Language` class, including name, version, data sources,
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license, author information and more. If a trained pipeline is loaded, this
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contains meta data of the pipeline. The `Language.meta` is also what's
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serialized as the [`meta.json`](/api/data-formats#meta) when you save an `nlp`
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object to disk.
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serialized as the `meta.json` when you save an `nlp` object to disk. See the
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[meta data format](/api/data-formats#meta) for more details.
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<Infobox variant="warning" title="Changed in v3.0">
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As of v3.0, the meta only contains **meta information** about the pipeline and
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isn't used to construct the language class and pipeline components. This
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information is expressed in the [`config.cfg`](/api/data-formats#config).
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</Infobox>
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> #### Example
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>
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@ -78,10 +78,12 @@ Create a blank pipeline of a given language class. This function is the twin of
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> nlp_de = spacy.blank("de") # equivalent to German()
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> ```
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| Name | Description |
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| ----------- | -------------------------------------------------------------------------------------------------------- |
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| `name` | [ISO code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) of the language class to load. ~~str~~ |
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| **RETURNS** | An empty `Language` object of the appropriate subclass. ~~Language~~ |
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| Name | Description |
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| ----------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `name` | [ISO code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) of the language class to load. ~~str~~ |
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| `config` <Tag variant="new">3</Tag> | Optional config overrides, either as nested dict or dict keyed by section value in dot notation, e.g. `"components.name.value"`. ~~Union[Dict[str, Any], Config]~~ |
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| `meta` <Tag variant="new">3</tag> | Optional meta overrides for [`nlp.meta`](/api/language#meta). ~~Dict[str, Any]~~ |
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| **RETURNS** | An empty `Language` object of the appropriate subclass. ~~Language~~ |
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### spacy.info {#spacy.info tag="function"}
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@ -744,14 +746,14 @@ and create a `Language` object. The model data will then be loaded in via
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> nlp = util.load_model("/path/to/data")
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> ```
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| Name | Description |
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| ------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Package name or path. ~~str~~ |
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| `vocab` <Tag variant="new">3</Tag> | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~. |
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| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [nlp.enable_pipe](/api/language#enable_pipe). ~~List[str]~~ |
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| `exclude` <Tag variant="new">3</Tag> | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
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| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
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| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
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| Name | Description |
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| ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `name` | Package name or path. ~~str~~ |
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| `vocab` <Tag variant="new">3</Tag> | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~. |
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| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~List[str]~~ |
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| `exclude` <Tag variant="new">3</Tag> | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
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| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
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| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
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### util.load_model_from_init_py {#util.load_model_from_init_py tag="function" new="2"}
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