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Is there a way to implement "any of" sampling for a single hyperparameter? For example, in a decision tree the
"max_features" hp, can have: int, float or {“auto”, “sqrt”, “log2”}, default=None
Hence, is there a way to define space for each possible option, and sample only from one of the spaces?
Thanks.
The text was updated successfully, but these errors were encountered:
Hi All,
Is there a way to implement "any of" sampling for a single hyperparameter? For example, in a decision tree the
"max_features" hp, can have: int, float or {“auto”, “sqrt”, “log2”}, default=None
Hence, is there a way to define space for each possible option, and sample only from one of the spaces?
Thanks.
The text was updated successfully, but these errors were encountered: