explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-12-25 01:16:28 +03:00
Code Issues Packages Projects Releases Wiki Activity

Auto-format [ci skip]

Browse Source
This commit is contained in:
Ines Montani 2019-10-30 19:27:18 +01:00
parent afe4a428f7
commit 5e9849b60f
3 changed files with 24 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
spacy/_ml.py
View File

@ -360,7 +360,7 @@ def Tok2Vec(width, embed_size, **kwargs):
"config": {
"vectors_name": pretrained_vectors,
"width": width,
"column": cols.index("ID")
"column": cols.index("ID"),
},
}
if cnn_maxout_pieces >= 2:

25
spacy/ml/tok2vec.py
View File

@ -45,12 +45,15 @@ def MultiHashEmbed(config):
norm = HashEmbed(width, rows, column=cols.index("NORM"), name="embed_norm")
if config["use_subwords"]:
prefix = HashEmbed(width, rows // 2,
column=cols.index("PREFIX"), name="embed_prefix")
suffix = HashEmbed(width, rows // 2,
column=cols.index("SUFFIX"), name="embed_suffix")
shape = HashEmbed(width, rows // 2,
column=cols.index("SHAPE"), name="embed_shape")
prefix = HashEmbed(
width, rows // 2, column=cols.index("PREFIX"), name="embed_prefix"
)
suffix = HashEmbed(
width, rows // 2, column=cols.index("SUFFIX"), name="embed_suffix"
)
shape = HashEmbed(
width, rows // 2, column=cols.index("SHAPE"), name="embed_shape"
)
if config.get("@pretrained_vectors"):
glove = make_layer(config["@pretrained_vectors"])
mix = make_layer(config["@mix"])
@ -60,20 +63,16 @@ def MultiHashEmbed(config):
mix._layers[0].nI = width * 5
layer = uniqued(
(glove | norm | prefix | suffix | shape) >> mix,
column=cols.index("ORTH")
column=cols.index("ORTH"),
)
elif config["use_subwords"]:
mix._layers[0].nI = width * 4
layer = uniqued(
(norm | prefix | suffix | shape) >> mix,
column=cols.index("ORTH")
(norm | prefix | suffix | shape) >> mix, column=cols.index("ORTH")
)
elif config["@pretrained_vectors"]:
mix._layers[0].nI = width * 2
embed = uniqued(
(glove | norm) >> mix,
column=cols.index("ORTH"),
)
embed = uniqued((glove | norm) >> mix, column=cols.index("ORTH"),)
else:
embed = norm
layer.cfg = config

12
spacy/tests/pipeline/test_functions.py
View File

@ -21,4 +21,14 @@ def doc(en_tokenizer):
def test_merge_subtokens(doc):
doc = merge_subtokens(doc)
# get_doc() doesn't set spaces, so the result is "And a third ."
assert [t.text for t in doc] == ["This", "is", "a sentence", ".", "This", "is", "another sentence", ".", "And a third ."]
assert [t.text for t in doc] == [
"This",
"is",
"a sentence",
".",
"This",
"is",
"another sentence",
".",
"And a third .",
]