evalml.tuners.Tuner

class evalml.tuners.Tuner(space, random_state=0)

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__	Init Tuner
add	Register a set of hyperparameters with the score obtained from training a pipeline with those hyperparameters.
propose	Returns a set of hyperparameters to train a pipeline with, based off the search space dimensions and prior samples