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d8494f90
编写于
9月 21, 2017
作者:
T
Tao Luo
提交者:
GitHub
9月 21, 2017
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差异文件
Merge pull request #423 from jacquesqiao/fix-word2vec-load
fix word2vec load
上级
48b92266
7d374e3a
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
5 addition
and
5 deletion
+5
-5
04.word2vec/README.cn.md
04.word2vec/README.cn.md
+1
-1
04.word2vec/README.md
04.word2vec/README.md
+1
-1
04.word2vec/index.cn.html
04.word2vec/index.cn.html
+1
-1
04.word2vec/index.html
04.word2vec/index.html
+1
-1
04.word2vec/train.py
04.word2vec/train.py
+1
-1
未找到文件。
04.word2vec/README.cn.md
浏览文件 @
d8494f90
...
...
@@ -223,7 +223,7 @@ def load_dict_and_embedding():
with
open
(
"word_dict"
,
"r"
)
as
f
:
for
line
in
f
:
key
,
value
=
line
.
strip
().
split
(
" "
)
word_dict
[
key
]
=
value
word_dict
[
key
]
=
int
(
value
)
embeddings
=
numpy
.
loadtxt
(
"embedding_table"
,
delimiter
=
","
)
return
word_dict
,
embeddings
...
...
04.word2vec/README.md
浏览文件 @
d8494f90
...
...
@@ -241,7 +241,7 @@ def load_dict_and_embedding():
with
open
(
"word_dict"
,
"r"
)
as
f
:
for
line
in
f
:
key
,
value
=
line
.
strip
().
split
(
" "
)
word_dict
[
key
]
=
value
word_dict
[
key
]
=
int
(
value
)
embeddings
=
numpy
.
loadtxt
(
"embedding_table"
,
delimiter
=
","
)
return
word_dict
,
embeddings
...
...
04.word2vec/index.cn.html
浏览文件 @
d8494f90
...
...
@@ -265,7 +265,7 @@ def load_dict_and_embedding():
with open("word_dict", "r") as f:
for line in f:
key, value = line.strip().split(" ")
word_dict[key] =
value
word_dict[key] =
int(value)
embeddings = numpy.loadtxt("embedding_table", delimiter=",")
return word_dict, embeddings
...
...
04.word2vec/index.html
浏览文件 @
d8494f90
...
...
@@ -283,7 +283,7 @@ def load_dict_and_embedding():
with open("word_dict", "r") as f:
for line in f:
key, value = line.strip().split(" ")
word_dict[key] =
value
word_dict[key] =
int(value)
embeddings = numpy.loadtxt("embedding_table", delimiter=",")
return word_dict, embeddings
...
...
04.word2vec/train.py
浏览文件 @
d8494f90
...
...
@@ -34,7 +34,7 @@ def load_dict_and_embedding():
with
open
(
"word_dict"
,
"r"
)
as
f
:
for
line
in
f
:
key
,
value
=
line
.
strip
().
split
(
" "
)
word_dict
[
key
]
=
value
word_dict
[
key
]
=
int
(
value
)
embeddings
=
numpy
.
loadtxt
(
"embedding_table"
,
delimiter
=
","
)
return
word_dict
,
embeddings
...
...
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