explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-12-26 18:06:29 +03:00
Code Issues Packages Projects Releases Wiki Activity

Compute Language.meta with a property

Browse Source
This commit is contained in:
Matthew Honnibal 2017-07-23 00:50:18 +02:00
parent 54a539a113
commit d8aa721664
1 changed files with 26 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
spacy/language.py
View File

@ -23,6 +23,7 @@ from .pipeline import TokenVectorEncoder, NeuralTagger, NeuralEntityRecognizer
from .pipeline import NeuralLabeller from .pipeline import NeuralLabeller
from .pipeline import SimilarityHook from .pipeline import SimilarityHook
from .pipeline import TextCategorizer from .pipeline import TextCategorizer
from . import about
from .compat import json_dumps from .compat import json_dumps
from .attrs import IS_STOP from .attrs import IS_STOP
@ -149,8 +150,8 @@ class Language(object):
Defaults = BaseDefaults Defaults = BaseDefaults
lang = None lang = None
def __init__(self, vocab=True, make_doc=True, pipeline=None, meta={}, def __init__(self, vocab=True, make_doc=True, pipeline=None,
disable=tuple(), **kwargs): meta={}, disable=tuple(), **kwargs):
"""Initialise a Language object. """Initialise a Language object.
vocab (Vocab): A `Vocab` object. If `True`, a vocab is created via vocab (Vocab): A `Vocab` object. If `True`, a vocab is created via
@ -167,7 +168,7 @@ class Language(object):
models to add model meta data. models to add model meta data.
RETURNS (Language): The newly constructed object. RETURNS (Language): The newly constructed object.
""" """
self.meta = dict(meta) self._meta = dict(meta)
if vocab is True: if vocab is True:
factory = self.Defaults.create_vocab factory = self.Defaults.create_vocab
vocab = factory(self, **meta.get('vocab', {})) vocab = factory(self, **meta.get('vocab', {}))
@ -199,6 +200,28 @@ class Language(object):
flat_list.append(pipe) flat_list.append(pipe)
self.pipeline = flat_list self.pipeline = flat_list
@property
def meta(self):
self._meta.setdefault('lang', self.vocab.lang)
self._meta.setdefault('name', '')
self._meta.setdefault('version', '0.0.0')
self._meta.setdefault('spacy_version', about.__version__)
self._meta.setdefault('description', '')
self._meta.setdefault('author', '')
self._meta.setdefault('email', '')
self._meta.setdefault('url', '')
self._meta.setdefault('license', '')
pipeline = []
for component in self.pipeline:
if hasattr(component, 'name'):
pipeline.append(component.name)
self._meta['pipeline'] = pipeline
return self._meta
@meta.setter
def meta(self, value):
self._meta = value
# Conveniences to access pipeline components # Conveniences to access pipeline components
@property @property
def tensorizer(self): def tensorizer(self):