diff --git a/spacy/language.py b/spacy/language.py index 91644aec0..7a409133a 100644 --- a/spacy/language.py +++ b/spacy/language.py @@ -1,12 +1,9 @@ # coding: utf8 from __future__ import absolute_import, unicode_literals from contextlib import contextmanager -import dill -import numpy from thinc.neural import Model -from thinc.neural.ops import NumpyOps, CupyOps -from thinc.neural.optimizers import Adam, SGD +from thinc.neural.optimizers import Adam import random import ujson from collections import OrderedDict @@ -17,24 +14,20 @@ from .vocab import Vocab from .tagger import Tagger from .lemmatizer import Lemmatizer from .syntax.parser import get_templates -from .syntax import nonproj -from .pipeline import NeuralDependencyParser, EntityRecognizer -from .pipeline import TokenVectorEncoder, NeuralTagger, NeuralEntityRecognizer -from .pipeline import NeuralLabeller -from .pipeline import SimilarityHook -from .pipeline import TextCategorizer -from . import about +from .pipeline import NeuralDependencyParser, TokenVectorEncoder, NeuralTagger +from .pipeline import NeuralEntityRecognizer, SimilarityHook, TextCategorizer from .compat import json_dumps, izip +from .scorer import Scorer +from ._ml import link_vectors_to_models from .attrs import IS_STOP from .lang.punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIXES from .lang.tokenizer_exceptions import TOKEN_MATCH from .lang.tag_map import TAG_MAP from .lang.lex_attrs import LEX_ATTRS from . import util -from .scorer import Scorer -from ._ml import link_vectors_to_models +from . import about class BaseDefaults(object): @@ -289,7 +282,7 @@ class Language(object): return self.pipeline.pop(self.pipe_names.index(name)) def __call__(self, text, disable=[]): - """'Apply the pipeline to some text. The text can span multiple sentences, + """Apply the pipeline to some text. The text can span multiple sentences, and can contain arbtrary whitespace. Alignment into the original string is preserved. @@ -387,7 +380,7 @@ class Language(object): get_gold_tuples (function): Function returning gold data **cfg: Config parameters. - returns: An optimizer + RETURNS: An optimizer """ # Populate vocab if get_gold_tuples is not None: