mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-25 09:26:27 +03:00
Fix formatting [ci skip]
This commit is contained in:
parent
f5c551a43a
commit
b2f88e2060
|
@ -166,10 +166,9 @@ cosines are calculated in minibatches, to reduce memory usage.
|
||||||
## Vocab.get_vector {#get_vector tag="method" new="2"}
|
## Vocab.get_vector {#get_vector tag="method" new="2"}
|
||||||
|
|
||||||
Retrieve a vector for a word in the vocabulary. Words can be looked up by string
|
Retrieve a vector for a word in the vocabulary. Words can be looked up by string
|
||||||
or hash value. If no vectors data is loaded, a `ValueError` is raised.
|
or hash value. If no vectors data is loaded, a `ValueError` is raised. If `minn`
|
||||||
|
is defined, then the resulting vector uses [FastText](https://fasttext.cc/)'s
|
||||||
If `minn` is defined, then the resulting vector uses Fasttext's
|
subword features by average over ngrams of `orth` (introduced in spaCy `v2.1`).
|
||||||
subword features by average over ngrams of `orth`. (Introduced in spaCy `v2.1`)
|
|
||||||
|
|
||||||
> #### Example
|
> #### Example
|
||||||
>
|
>
|
||||||
|
@ -178,12 +177,12 @@ subword features by average over ngrams of `orth`. (Introduced in spaCy `v2.1`)
|
||||||
> nlp.vocab.get_vector("apple", minn=1, maxn=5)
|
> nlp.vocab.get_vector("apple", minn=1, maxn=5)
|
||||||
> ```
|
> ```
|
||||||
|
|
||||||
| Name | Type | Description |
|
| Name | Type | Description |
|
||||||
| ----------- | ---------------------------------------- | ---------------------------------------------------------------------------------------------- |
|
| ----------------------------------- | ---------------------------------------- | ---------------------------------------------------------------------------------------------- |
|
||||||
| `orth` | int / unicode | The hash value of a word, or its unicode string. |
|
| `orth` | int / unicode | The hash value of a word, or its unicode string. |
|
||||||
| `minn` | int | Minimum n-gram length used for Fasttext's ngram computation. Defaults to the length of `orth`. |
|
| `minn` <Tag variant="new">2.1</Tag> | int | Minimum n-gram length used for FastText's ngram computation. Defaults to the length of `orth`. |
|
||||||
| `maxn` | int | Maximum n-gram length used for Fasttext's ngram computation. Defaults to the length of `orth`. |
|
| `maxn` <Tag variant="new">2.1</Tag> | int | Maximum n-gram length used for FastText's ngram computation. Defaults to the length of `orth`. |
|
||||||
| **RETURNS** | `numpy.ndarray[ndim=1, dtype='float32']` | A word vector. Size and shape are determined by the `Vocab.vectors` instance. |
|
| **RETURNS** | `numpy.ndarray[ndim=1, dtype='float32']` | A word vector. Size and shape are determined by the `Vocab.vectors` instance. |
|
||||||
|
|
||||||
## Vocab.set_vector {#set_vector tag="method" new="2"}
|
## Vocab.set_vector {#set_vector tag="method" new="2"}
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue
Block a user