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@ -195,8 +195,8 @@ class BlendSearch(Searcher):
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max_resource,
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reduction_factor,
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self.cost_attr,
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self.lexico_objectives,
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seed,
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self.lexico_objectives,
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)
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if global_search_alg is not None:
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self._gs = global_search_alg
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@ -1068,8 +1068,8 @@ class BlendSearchTuner(BlendSearch, NNITuner):
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self._ls.max_resource,
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self._ls.resource_multiple_factor,
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cost_attr=self.cost_attr,
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lexico_objectives=self.lexico_objectives,
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seed=self._ls.seed,
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lexico_objectives=self.lexico_objectives,
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)
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if self._gs is not None:
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self._gs = GlobalSearch(
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@ -298,8 +298,8 @@ class FLOW2(Searcher):
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self.max_resource,
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self.resource_multiple_factor,
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self.cost_attr,
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self.lexico_objectives,
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self.seed + 1,
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self.lexico_objectives,
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)
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if self.lexico_objectives is not None:
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flow2.best_obj = {}
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@ -533,7 +533,7 @@ lexico_objectives["tolerances"] = {"val_loss": 0.02, "pred_time": 0.0}
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lexico_objectives["targets"] = {"val_loss": -float('inf'), "pred_time": -float('inf')}
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# provide the lexico_objectives to tune.run
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tune.run(..., search_alg=None, lexico_objectives=lexico_objectives, ...)
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tune.run(..., search_alg=None, lexico_objectives=lexico_objectives)
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```
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NOTE:
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