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Ines Montani 2020-07-04 16:25:30 +02:00
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24
website/docs/api/language.md
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@ -296,15 +296,13 @@ component function.
Disable one or more pipeline components. If used as a context manager, the Disable one or more pipeline components. If used as a context manager, the
pipeline will be restored to the initial state at the end of the block. pipeline will be restored to the initial state at the end of the block.
Otherwise, a `DisabledPipes` object is returned, that has a `.restore()` method Otherwise, a `DisabledPipes` object is returned, that has a `.restore()` method
you can use to undo your changes. you can use to undo your changes. You can specify either `disable` (as a list or
string), or `enable`. In the latter case, all components not in the `enable`
You can specify either `disable` (as a list or string), or `enable`. In the list, will be disabled.
latter case, all components not in the `enable` list, will be disabled.
> #### Example > #### Example
> >
> ```python > ```python
> # New API as of v3.0
> with nlp.select_pipes(disable=["tagger", "parser"]): > with nlp.select_pipes(disable=["tagger", "parser"]):
> nlp.begin_training() > nlp.begin_training()
> >
@ -316,15 +314,7 @@ latter case, all components not in the `enable` list, will be disabled.
> disabled.restore() > disabled.restore()
> ``` > ```
| Name | Type | Description | <Infobox title="Changed in v3.0" variant="warning" id="disable_pipes">
| ----------- | --------------- | ------------------------------------------------------------------------------------ |
| `disable` | list | Names of pipeline components to disable. |
| `disable` | str | Name of pipeline component to disable. |
| `enable` | list | Names of pipeline components that will not be disabled. |
| `enable` | str | Name of pipeline component that will not be disabled. |
| **RETURNS** | `DisabledPipes` | The disabled pipes that can be restored by calling the object's `.restore()` method. |
<Infobox title="Changed in v3.0" variant="warning">
As of spaCy v3.0, the `disable_pipes` method has been renamed to `select_pipes`: As of spaCy v3.0, the `disable_pipes` method has been renamed to `select_pipes`:
@ -335,6 +325,12 @@ As of spaCy v3.0, the `disable_pipes` method has been renamed to `select_pipes`:
</Infobox> </Infobox>
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------------------ |
| `disable` | str / list | Name(s) of pipeline components to disable. |
| `enable` | str / list | Names(s) of pipeline components that will not be disabled. |
| **RETURNS** | `DisabledPipes` | The disabled pipes that can be restored by calling the object's `.restore()` method. |
## Language.to_disk {#to_disk tag="method" new="2"} ## Language.to_disk {#to_disk tag="method" new="2"}
Save the current state to a directory. If a model is loaded, this will **include Save the current state to a directory. If a model is loaded, this will **include

71
website/docs/api/top-level.md
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@ -698,72 +698,11 @@ vary on each step.
> nlp.update(texts, annotations) > nlp.update(texts, annotations)
> ``` > ```
| Name | Type | Description | | Name | Type | Description |
| ---------- | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | ---------- | -------------- | ---------------------- |
| `items` | iterable | The items to batch up. | | `items` | iterable | The items to batch up. |
| `size` | int / iterable | The batch size(s). Use [`util.compounding`](/api/top-level#util.compounding) or [`util.decaying`](/api/top-level#util.decaying) or for an infinite series of compounding or decaying values. | | `size` | int / iterable | The batch size(s). |
| **YIELDS** | list | The batches. | | **YIELDS** | list | The batches. |
### util.compounding {#util.compounding tag="function" new="2"}
Yield an infinite series of compounding values. Each time the generator is
called, a value is produced by multiplying the previous value by the compound
rate.
> #### Example
>
> ```python
> sizes = compounding(1., 10., 1.5)
> assert next(sizes) == 1.
> assert next(sizes) == 1. * 1.5
> assert next(sizes) == 1.5 * 1.5
> ```
| Name | Type | Description |
| ---------- | ----------- | ----------------------- |
| `start` | int / float | The first value. |
| `stop` | int / float | The maximum value. |
| `compound` | int / float | The compounding factor. |
| **YIELDS** | int | Compounding values. |
### util.decaying {#util.decaying tag="function" new="2"}
Yield an infinite series of linearly decaying values.
> #### Example
>
> ```python
> sizes = decaying(10., 1., 0.001)
> assert next(sizes) == 10.
> assert next(sizes) == 10. - 0.001
> assert next(sizes) == 9.999 - 0.001
> ```
| Name | Type | Description |
| ---------- | ----------- | -------------------- |
| `start` | int / float | The first value. |
| `end` | int / float | The maximum value. |
| `decay` | int / float | The decaying factor. |
| **YIELDS** | int | The decaying values. |
### util.itershuffle {#util.itershuffle tag="function" new="2"}
Shuffle an iterator. This works by holding `bufsize` items back and yielding
them sometime later. Obviously, this is not unbiased – but should be good enough
for batching. Larger `bufsize` means less bias.
> #### Example
>
> ```python
> values = range(1000)
> shuffled = itershuffle(values)
> ```
| Name | Type | Description |
| ---------- | -------- | ----------------------------------- |
| `iterable` | iterable | Iterator to shuffle. |
| `bufsize` | int | Items to hold back (default: 1000). |
| **YIELDS** | iterable | The shuffled iterator. |
### util.filter_spans {#util.filter_spans tag="function" new="2.1.4"} ### util.filter_spans {#util.filter_spans tag="function" new="2.1.4"}