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Update vectors name docs [ci skip]

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This commit is contained in:
Ines Montani 2019-09-26 16:21:32 +02:00
parent 58533f01bf
commit da9a869d3f
4 changed files with 11 additions and 8 deletions
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2
spacy/vectors.pyx
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@ -63,7 +63,7 @@ cdef class Vectors:
shape (tuple): Size of the table, as (# entries, # columns)
data (numpy.ndarray): The vector data.
keys (iterable): A sequence of keys, aligned with the data.
name (string): A name to identify the vectors table.
name (unicode): A name to identify the vectors table.
RETURNS (Vectors): The newly created object.
DOCS: https://spacy.io/api/vectors#init

1
spacy/vocab.pyx
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@ -45,6 +45,7 @@ cdef class Vocab:
strings (StringStore): StringStore that maps strings to integers, and
vice versa.
lookups (Lookups): Container for large lookup tables and dictionaries.
name (unicode): Optional name to identify the vectors table.
RETURNS (Vocab): The newly constructed object.
"""
lex_attr_getters = lex_attr_getters if lex_attr_getters is not None else {}

1
website/docs/api/vectors.md
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@ -35,6 +35,7 @@ you can add vectors to later.
| `data` | `ndarray[ndim=1, dtype='float32']` | The vector data. |
| `keys` | iterable | A sequence of keys aligned with the data. |
| `shape` | tuple | Size of the table as `(n_entries, n_columns)`, the number of entries and number of columns. Not required if you're initializing the object with `data` and `keys`. |
| `name` | unicode | A name to identify the vectors table. |
| **RETURNS** | `Vectors` | The newly created object. |
## Vectors.\_\_getitem\_\_ {#getitem tag="method"}

15
website/docs/api/vocab.md
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@ -21,13 +21,14 @@ Create the vocabulary.
> vocab = Vocab(strings=["hello", "world"])
> ```
| Name | Type | Description |
| ------------------ | -------------------- | ------------------------------------------------------------------------------------------------------------------ |
| `lex_attr_getters` | dict | A dictionary mapping attribute IDs to functions to compute them. Defaults to `None`. |
| `tag_map` | dict | A dictionary mapping fine-grained tags to coarse-grained parts-of-speech, and optionally morphological attributes. |
| `lemmatizer` | object | A lemmatizer. Defaults to `None`. |
| `strings` | `StringStore` / list | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. |
| **RETURNS** | `Vocab` | The newly constructed object. |
| Name | Type | Description |
| ------------------------------------------- | -------------------- | ------------------------------------------------------------------------------------------------------------------ |
| `lex_attr_getters` | dict | A dictionary mapping attribute IDs to functions to compute them. Defaults to `None`. |
| `tag_map` | dict | A dictionary mapping fine-grained tags to coarse-grained parts-of-speech, and optionally morphological attributes. |
| `lemmatizer` | object | A lemmatizer. Defaults to `None`. |
| `strings` | `StringStore` / list | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. |
| `vectors_name` <Tag variant="new">2.2</Tag> | unicode | A name to identify the vectors table. |
| **RETURNS** | `Vocab` | The newly constructed object. |
## Vocab.\_\_len\_\_ {#len tag="method"}