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skzhang1 2023-01-28 06:58:58 -08:00
parent 184251a2a7
commit b8982f7cf2
1 changed files with 15 additions and 17 deletions
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32
flaml/tune/tune.py
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@ -91,27 +91,25 @@ class ExperimentAnalysis(EA):
) )
feasible_value = k_values.take(feasible_index) feasible_value = k_values.take(feasible_index)
f_best[k_metric] = np.min(feasible_value) f_best[k_metric] = np.min(feasible_value)
feasible_index_filter = np.where( feasible_index_filter = np.where(
feasible_value feasible_value
<= max( <= max(
[ f_best[k_metric] + self.lexico_objectives["tolerances"][k_metric]
f_best[k_metric] if not isinstance(
+ self.lexico_objectives["tolerances"][k_metric] self.lexico_objectives["tolerances"][k_metric], str
if not isinstance( )
self.lexico_objectives["tolerances"][k_metric], str else f_best[k_metric]
) * (
else f_best[k_metric] 1
* ( + 0.01
1 * float(
+ 0.01 self.lexico_objectives["tolerances"][k_metric].replace(
* float( "%", ""
self.lexico_objectives["tolerances"][k_metric].replace(
"%", ""
)
) )
), )
k_target, ),
] k_target,
) )
)[0] )[0]
feasible_index = feasible_index.take(feasible_index_filter) feasible_index = feasible_index.take(feasible_index_filter)