evalml.tuners.Tuner

class evalml.tuners.Tuner(pipeline_hyperparameter_ranges, random_seed=0)[source]

Defines API for Tuners.

Tuners implement different strategies for sampling from a search space. They’re used in EvalML to search the space of pipeline hyperparameters.

Methods

__init__

Base Tuner class

add

Register a set of hyperparameters with the score obtained from training a pipeline with those hyperparameters.

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

Inheritance diagram of Tuner