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Ines Montani 2020-07-04 16:25:30 +02:00
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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
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
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` list, will be disabled.
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`
list, will be disabled.
> #### Example
>
> ```python
> # New API as of v3.0
> with nlp.select_pipes(disable=["tagger", "parser"]):
> nlp.begin_training()
>
@ -316,15 +314,7 @@ latter case, all components not in the `enable` list, will be disabled.
> disabled.restore()
> ```
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------------------ |
| `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">
<Infobox title="Changed in v3.0" variant="warning" id="disable_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>
| 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"}
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)
> ```
| Name | Type | Description |
| ---------- | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `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. |
| **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. |
| Name | Type | Description |
| ---------- | -------------- | ---------------------- |
| `items` | iterable | The items to batch up. |
| `size` | int / iterable | The batch size(s). |
| **YIELDS** | list | The batches. |
### util.filter_spans {#util.filter_spans tag="function" new="2.1.4"}