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a219fdb0
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体验新版 GitCode,发现更多精彩内容 >>
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a219fdb0
编写于
6月 20, 2016
作者:
A
A. Unique TensorFlower
提交者:
TensorFlower Gardener
6月 20, 2016
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差异文件
Update generated Python Op docs.
Change: 125400645
上级
4093a847
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
8 addition
and
8 deletion
+8
-8
tensorflow/g3doc/api_docs/python/contrib.learn.md
tensorflow/g3doc/api_docs/python/contrib.learn.md
+4
-4
tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md
...ns_and_classes/shard0/tf.contrib.learn.LinearRegressor.md
+2
-2
tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md
...s_and_classes/shard1/tf.contrib.learn.LinearClassifier.md
+2
-2
未找到文件。
tensorflow/g3doc/api_docs/python/contrib.learn.md
浏览文件 @
a219fdb0
...
@@ -2403,9 +2403,9 @@ estimator = LinearClassifier(
...
@@ -2403,9 +2403,9 @@ estimator = LinearClassifier(
))
))
# Input builders
# Input builders
def
input_fn_train
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_train
:
# returns x, y
...
...
def
input_fn_eval
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_eval
:
# returns x, y
...
...
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
...
@@ -2767,9 +2767,9 @@ estimator = LinearRegressor(
...
@@ -2767,9 +2767,9 @@ estimator = LinearRegressor(
feature_columns=[occupation, education_x_occupation])
feature_columns=[occupation, education_x_occupation])
# Input builders
# Input builders
def input_fn_train: # returns x, y
, where y is a tensor of dimension 1
def input_fn_train: # returns x, y
...
...
def input_fn_eval: # returns x, y
, where y is a tensor of dimension 1
def input_fn_eval: # returns x, y
...
...
estimator.fit(input_fn=input_fn_train)
estimator.fit(input_fn=input_fn_train)
estimator.evaluate(input_fn=input_fn_eval)
estimator.evaluate(input_fn=input_fn_eval)
...
...
tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md
浏览文件 @
a219fdb0
...
@@ -18,9 +18,9 @@ estimator = LinearRegressor(
...
@@ -18,9 +18,9 @@ estimator = LinearRegressor(
feature_columns
=
[
occupation
,
education_x_occupation
])
feature_columns
=
[
occupation
,
education_x_occupation
])
# Input builders
# Input builders
def
input_fn_train
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_train
:
# returns x, y
...
...
def
input_fn_eval
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_eval
:
# returns x, y
...
...
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
...
...
tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md
浏览文件 @
a219fdb0
...
@@ -35,9 +35,9 @@ estimator = LinearClassifier(
...
@@ -35,9 +35,9 @@ estimator = LinearClassifier(
))
))
# Input builders
# Input builders
def
input_fn_train
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_train
:
# returns x, y
...
...
def
input_fn_eval
:
# returns x, y
, where y is a tensor of dimension 1
def
input_fn_eval
:
# returns x, y
...
...
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
fit
(
input_fn
=
input_fn_train
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
estimator
.
evaluate
(
input_fn
=
input_fn_eval
)
...
...
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