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Update flaml/tune/searcher/blendsearch.py

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Co-authored-by: Chi Wang <wang.chi@microsoft.com>
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Anonymous-submission-repo 2022-10-14 22:50:55 -04:00 committed by GitHub
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flaml/tune/searcher/blendsearch.py
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@ -120,7 +120,7 @@ class BlendSearch(Searcher):
- "metrics": a list of optimization objectives with the orders reflecting the priorities/preferences of the
objectives.
- "modes" (optional): a list of optimization modes (each mode either "min" or "max") corresponding to the
objectives in the metric list. If not provided, we use "min" as the default mode for all the objectives
objectives in the metric list. If not provided, we use "min" as the default mode for all the objectives.
- "targets" (optional): a dictionary to specify the optimization targets on the objectives. The keys are the
metric names (provided in "metric"), and the values are the numerical target values.
- "tolerances"(optional): a dictionary to specify the optimality tolerances on objectives. The keys are the