evalml.tuners.SKOptTuner¶

class evalml.tuners.SKOptTuner(pipeline_hyperparameter_ranges, random_state=None, random_seed=0)[source]¶

Bayesian Optimizer.

Methods

`__init__`	Init SkOptTuner
`add`	Add score to sample
`is_search_space_exhausted`	Optional.
`propose`	Returns a suggested set of parameters to train and score a pipeline with, based off the search space dimensions and prior samples.

Class Inheritance¶