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体验新版 GitCode,发现更多精彩内容 >>
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d57b6ff1
编写于
8月 10, 2020
作者:
M
Mingcong Song
浏览文件
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浏览文件
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电子邮件补丁
差异文件
add noise paramter for GP and its default value is 0.00001**2
上级
d895c5c7
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
6 addition
and
4 deletion
+6
-4
analysis/optimizer/optimizer.py
analysis/optimizer/optimizer.py
+6
-4
未找到文件。
analysis/optimizer/optimizer.py
浏览文件 @
d57b6ff1
...
...
@@ -25,6 +25,7 @@ from sklearn.preprocessing import StandardScaler
from
skopt
import
Optimizer
as
baseOpt
from
skopt.utils
import
normalize_dimensions
from
skopt.utils
import
cook_estimator
from
analysis.optimizer.abtest_tuning_manager
import
ABtestTuningManager
from
analysis.optimizer.knob_sampling_manager
import
KnobSamplingManager
...
...
@@ -38,11 +39,12 @@ class Optimizer(multiprocessing.Process):
"""find optimal settings and generate optimized profile"""
def
__init__
(
self
,
name
,
params
,
child_conn
,
engine
=
"bayes"
,
\
max_eval
=
50
,
x0
=
None
,
y0
=
None
,
n_random_starts
=
20
,
split_count
=
5
):
max_eval
=
50
,
x0
=
None
,
y0
=
None
,
n_random_starts
=
20
,
split_count
=
5
,
noise
=
0.00001
**
2
):
super
(
Optimizer
,
self
).
__init__
(
name
=
name
)
self
.
knobs
=
params
self
.
child_conn
=
child_conn
self
.
engine
=
engine
self
.
noise
=
noise
self
.
max_eval
=
int
(
max_eval
)
self
.
split_count
=
split_count
self
.
x0
=
x0
...
...
@@ -230,7 +232,7 @@ class Optimizer(multiprocessing.Process):
options
=
[]
performance
=
[]
labels
=
[]
estimator
=
'DIY'
estimator
=
None
try
:
if
self
.
engine
==
'random'
or
self
.
engine
==
'forest'
or
\
self
.
engine
==
'gbrt'
or
self
.
engine
==
'bayes'
:
...
...
@@ -260,8 +262,8 @@ class Optimizer(multiprocessing.Process):
elif
self
.
engine
==
'gbrt'
:
estimator
=
'GBRT'
elif
self
.
engine
==
'bayes'
:
estimator
=
'GP'
params_space
=
normalize_dimensions
(
params_space
)
estimator
=
cook_estimator
(
"GP"
,
space
=
params_space
,
noise
=
self
.
noise
)
LOGGER
.
info
(
"base_estimator is: %s"
,
estimator
)
optimizer
=
baseOpt
(
...
...
@@ -330,7 +332,7 @@ class Optimizer(multiprocessing.Process):
return
None
for
i
,
knob
in
enumerate
(
self
.
knobs
):
if
estimator
!=
"DIY"
:
if
estimator
is
not
None
:
params
[
knob
[
'name'
]]
=
ret
.
x
[
i
]
labels
.
append
(
knob
[
'name'
])
...
...
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