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71fd9646
编写于
3月 05, 2020
作者:
X
xiexionghang
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commit kagle for paddle
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ead2a1a9
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1 changed file
with
59 addition
and
8 deletion
+59
-8
kagle/kagle_metric.py
kagle/kagle_metric.py
+59
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未找到文件。
kagle/kagle_metric.py
浏览文件 @
71fd9646
"""
Do metric jobs. calculate AUC, MSE, COCP ...
"""
import
math
import
time
import
numpy
as
np
import
kagle_util
import
paddle.fluid
as
fluid
from
abc
import
ABCMeta
,
abstractmethod
from
paddle.fluid.incubate.fleet.parameter_server.pslib
import
fleet
class
Metric
(
object
):
__metaclass__
=
ABCMeta
""" """
__metaclass__
=
abc
.
ABCMeta
def
__init__
(
self
,
config
):
""" """
pass
@
abstractmethod
@
ab
c
.
ab
stractmethod
def
clear
(
self
,
scope
,
params
):
"""
clear current value
Args:
scope: value container
params: extend varilable for clear
"""
pass
@
abstractmethod
@
ab
c
.
ab
stractmethod
def
calculate
(
self
,
scope
,
params
):
"""
calculate result
Args:
scope: value container
params: extend varilable for clear
"""
pass
@
abstractmethod
@
ab
c
.
ab
stractmethod
def
get_result
(
self
):
"""
Return:
result(dict) : calculate result
"""
pass
@
abstractmethod
@
ab
c
.
ab
stractmethod
def
get_result_to_string
(
self
):
"""
Return:
result(string) : calculate result with string format, for output
"""
pass
class
PaddleAUCMetric
(
Metric
):
"""
Metric For Paddle Model
"""
def
__init__
(
self
,
config
):
""" """
pass
def
clear
(
self
,
scope
,
params
):
"""
Clear current metric value, usually set to zero
Args:
scope : paddle runtime var container
params(dict) :
label : a group name for metric
metric_dict : current metric_items in group
Return:
None
"""
self
.
_label
=
params
[
'label'
]
self
.
_metric_dict
=
params
[
'metric_dict'
]
self
.
_result
=
{}
...
...
@@ -47,10 +85,13 @@ class PaddleAUCMetric(Metric):
data_type
=
metric_config
[
'data_type'
]
data_array
=
np
.
zeros
(
metric_var
.
_get_dims
()).
astype
(
data_type
)
metric_var
.
set
(
data_array
,
place
)
pass
def
get_metric
(
self
,
scope
,
metric_name
):
"""
reduce metric named metric_name from all worker
Return:
metric reduce result
"""
metric
=
np
.
array
(
scope
.
find_var
(
metric_name
).
get_tensor
())
old_metric_shape
=
np
.
array
(
metric
.
shape
)
metric
=
metric
.
reshape
(
-
1
)
...
...
@@ -60,6 +101,11 @@ class PaddleAUCMetric(Metric):
return
global_metric
[
0
]
def
get_global_metrics
(
self
,
scope
,
metric_dict
):
"""
reduce all metric in metric_dict from all worker
Return:
dict : {matric_name : metric_result}
"""
fleet
.
_role_maker
.
_barrier_worker
()
result
=
{}
for
metric_name
in
metric_dict
:
...
...
@@ -71,6 +117,7 @@ class PaddleAUCMetric(Metric):
return
result
def
calculate_auc
(
self
,
global_pos
,
global_neg
):
""" """
num_bucket
=
len
(
global_pos
)
area
=
0.0
pos
=
0.0
...
...
@@ -95,6 +142,7 @@ class PaddleAUCMetric(Metric):
return
auc_value
def
calculate_bucket_error
(
self
,
global_pos
,
global_neg
):
""" """
num_bucket
=
len
(
global_pos
)
last_ctr
=
-
1.0
impression_sum
=
0.0
...
...
@@ -141,6 +189,7 @@ class PaddleAUCMetric(Metric):
return
bucket_error
def
calculate
(
self
,
scope
,
params
):
""" """
self
.
_label
=
params
[
'label'
]
self
.
_metric_dict
=
params
[
'metric_dict'
]
fleet
.
_role_maker
.
_barrier_worker
()
...
...
@@ -165,9 +214,11 @@ class PaddleAUCMetric(Metric):
return
result
def
get_result
(
self
):
""" """
return
self
.
_result
def
get_result_to_string
(
self
):
""" """
result
=
self
.
get_result
()
result_str
=
"%s AUC=%.6f BUCKET_ERROR=%.6f MAE=%.6f RMSE=%.6f "
\
"Actural_CTR=%.6f Predicted_CTR=%.6f COPC=%.6f MEAN Q_VALUE=%.6f Ins number=%s"
%
\
...
...
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