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64a14b0b
编写于
7月 01, 2017
作者:
T
Travis CI
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develop/doc_cn/getstarted/concepts/use_concepts_cn.html
浏览文件 @
64a14b0b
...
@@ -413,7 +413,7 @@ trainer.train<span class="o">(</span>
...
@@ -413,7 +413,7 @@ trainer.train<span class="o">(</span>
<span
class=
"c1"
>
# define training dataset reader
</span>
<span
class=
"c1"
>
# define training dataset reader
</span>
<span
class=
"k"
>
def
</span>
<span
class=
"nf"
>
train_reader
</span><span
class=
"p"
>
():
</span>
<span
class=
"k"
>
def
</span>
<span
class=
"nf"
>
train_reader
</span><span
class=
"p"
>
():
</span>
<span
class=
"n"
>
train_x
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
np
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
array
</span><span
class=
"p"
>
([[
</span><span
class=
"mi"
>
1
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
1
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
1
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
2
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
3
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
4
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
5
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
2
</span><span
class=
"p"
>
]])
</span>
<span
class=
"n"
>
train_x
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
np
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
array
</span><span
class=
"p"
>
([[
</span><span
class=
"mi"
>
1
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
1
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
1
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
2
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
3
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
4
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"mi"
>
5
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
2
</span><span
class=
"p"
>
]])
</span>
<span
class=
"n"
>
train_y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
np
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
array
</span><span
class=
"p"
>
([
</span><span
class=
"o"
>
-
</span><span
class=
"mi"
>
2
</span><span
class=
"p"
>
,
</span>
<span
class=
"o"
>
-
</span><span
class=
"mi"
>
3
</span><span
class=
"p"
>
,
</span>
<span
class=
"o"
>
-
</span><span
class=
"mi"
>
7
</span><span
class=
"p"
>
,
</span>
<span
class=
"o"
>
-
</span><span
class=
"mi"
>
7
</span><span
class=
"p"
>
])
</span>
<span
class=
"n"
>
train_y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
np
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
array
</span><span
class=
"p"
>
([
[
</span><span
class=
"o"
>
-
</span><span
class=
"mi"
>
2
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"o"
>
-
</span><span
class=
"mi"
>
3
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"o"
>
-
</span><span
class=
"mi"
>
7
</span><span
class=
"p"
>
],
</span>
<span
class=
"p"
>
[
</span><span
class=
"o"
>
-
</span><span
class=
"mi"
>
7
</span><span
class=
"p"
>
]
])
</span>
<span
class=
"k"
>
def
</span>
<span
class=
"nf"
>
reader
</span><span
class=
"p"
>
():
</span>
<span
class=
"k"
>
def
</span>
<span
class=
"nf"
>
reader
</span><span
class=
"p"
>
():
</span>
<span
class=
"k"
>
for
</span>
<span
class=
"n"
>
i
</span>
<span
class=
"ow"
>
in
</span>
<span
class=
"n"
>
xrange
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
train_y
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
shape
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
0
</span><span
class=
"p"
>
]):
</span>
<span
class=
"k"
>
for
</span>
<span
class=
"n"
>
i
</span>
<span
class=
"ow"
>
in
</span>
<span
class=
"n"
>
xrange
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
train_y
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
shape
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
0
</span><span
class=
"p"
>
]):
</span>
...
...
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