Update training.jade
fix several changes
@@ -33,12 +33,14 @@ p
from spacy.vocab import Vocab
from spacy.pipeline import EntityRecognizer
from spacy.tokens import Doc
+ from spacy.gold import GoldParse
vocab = Vocab()
entity = EntityRecognizer(vocab, entity_types=['PERSON', 'LOC'])
doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
- entity.update(doc, ['O', 'O', 'B-PERSON', 'L-PERSON', 'O'])
+ gold = GoldParse(doc, entities=['O', 'O', 'B-PERSON', 'L-PERSON', 'O'])
+ entity.update(doc, gold)
entity.model.end_training()
@@ -65,13 +67,14 @@ p.o-inline-list
from spacy.vocab import Vocab
from spacy.pipeline import DependencyParser
from spacy.tokens import Doc
+ from spacy.gold import GoldParse
vocab = Vocab()
parser = DependencyParser(vocab, labels=['nsubj', 'compound', 'dobj', 'punct'])
doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
- parser.update(doc, [(1, 'nsubj'), (1, 'ROOT'), (3, 'compound'), (1, 'dobj'),
- (1, 'punct')])
+ gold = GoldParse(doc, [1,1,3,1,1], ['nsubj', 'ROOT', 'compound', 'dobj', 'punct'])
+ parser.update(doc, gold)
parser.model.end_training()
@@ -120,7 +123,7 @@ p
+code.
from spacy.vocab import Vocab
- from spacy.pipeline import Tagger
+ from spacy.tagger import Tagger
from spacy.tagger import P2_orth, P1_orth
from spacy.tagger import P2_cluster, P1_cluster, W_orth, N1_orth, N2_orth
