>From the example in the documentation:
# specify parameters and distributions to sample from
param_dist = {"max_depth": [3, None],
"max_features": sp_randint(1, 11),
"min_samples_split": sp_randint(1, 11),
"min_samples_leaf": sp_randint(1, 11),
"bootstrap": [True, False],
"criterion": ["gini", "entropy"]}
what does None do for max_depth?
In particular, if lists are provided, does randomized grid search construct a
uniform probability distribution? If that's the case, I presume there is no
advantage over GridSearchCV?
Thank you,
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