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f80fea8d
编写于
8月 14, 2017
作者:
W
whs
提交者:
GitHub
8月 14, 2017
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Merge pull request #3473 from wanghaoshuang/fix_pnpair
Fix pnpair evaluator bug
上级
991c4d80
957aa691
变更
1
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1 changed file
with
22 addition
and
18 deletion
+22
-18
python/paddle/trainer_config_helpers/evaluators.py
python/paddle/trainer_config_helpers/evaluators.py
+22
-18
未找到文件。
python/paddle/trainer_config_helpers/evaluators.py
浏览文件 @
f80fea8d
...
@@ -298,8 +298,8 @@ def pnpair_evaluator(
...
@@ -298,8 +298,8 @@ def pnpair_evaluator(
input
,
input
,
label
,
label
,
info
,
info
,
name
=
None
,
weight
=
None
,
weight
=
None
,
):
name
=
None
,
):
"""
"""
Positive-negative pair rate Evaluator which adapts to rank task like
Positive-negative pair rate Evaluator which adapts to rank task like
learning to rank. This evaluator must contain at least three layers.
learning to rank. This evaluator must contain at least three layers.
...
@@ -308,27 +308,31 @@ def pnpair_evaluator(
...
@@ -308,27 +308,31 @@ def pnpair_evaluator(
.. code-block:: python
.. code-block:: python
eval = pnpair_evaluator(input,
info, label
)
eval = pnpair_evaluator(input,
label, info
)
:param name: Evaluator name.
:type name: None|basestring
:param input: Input Layer name. The output prediction of network.
:param input: Input Layer name. The output prediction of network.
:type input: LayerOutput
:type input: LayerOutput
:param label: Label layer name.
:param label: Label layer name.
:type label: LayerOutput
:type label: LayerOutput
:param info:
Label
layer name. (TODO, explaination)
:param info:
Info
layer name. (TODO, explaination)
:type info: LayerOutput
:type info: LayerOutput
:param weight: Weight Layer name. It should be a matrix with size
:param weight: Weight Layer name. It should be a matrix with size
[sample_num, 1]. (TODO, explaination)
[sample_num, 1]. (TODO, explaination)
:type weight: LayerOutput
:type weight: LayerOutput
:param name: Evaluator name.
:type name: None|basestring
"""
"""
if
not
isinstance
(
input
,
list
):
input
=
[
input
]
if
label
:
input
.
append
(
label
)
if
info
:
input
.
append
(
info
)
evaluator_base
(
evaluator_base
(
name
=
name
,
type
=
"pnpair"
,
input
=
input
,
input
=
input
,
label
=
label
,
type
=
"pnpair"
,
info
=
info
,
weight
=
weight
,
weight
=
weight
)
name
=
name
,
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
...
...
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