wangtao
/
autogen
mirror of https://github.com/microsoft/autogen.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

update

This commit is contained in:
skzhang1 2023-01-28 06:58:58 -08:00
parent 184251a2a7
commit b8982f7cf2
1 changed files with 15 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
flaml/tune/tune.py
View File

@ -91,27 +91,25 @@ class ExperimentAnalysis(EA):
)
feasible_value = k_values.take(feasible_index)
f_best[k_metric] = np.min(feasible_value)
feasible_index_filter = np.where(
feasible_value
<= max(
[
f_best[k_metric]
+ self.lexico_objectives["tolerances"][k_metric]
if not isinstance(
self.lexico_objectives["tolerances"][k_metric], str
)
else f_best[k_metric]
* (
1
+ 0.01
* float(
self.lexico_objectives["tolerances"][k_metric].replace(
"%", ""
)
f_best[k_metric] + self.lexico_objectives["tolerances"][k_metric]
if not isinstance(
self.lexico_objectives["tolerances"][k_metric], str
)
else f_best[k_metric]
* (
1
+ 0.01
* float(
self.lexico_objectives["tolerances"][k_metric].replace(
"%", ""
)
),
k_target,
]
)
),
k_target,
)
)[0]
feasible_index = feasible_index.take(feasible_index_filter)