evalml.tuners.RandomSearchTuner

class evalml.tuners.RandomSearchTuner(pipeline_hyperparameter_ranges, random_state=0, with_replacement=False, replacement_max_attempts=10)[source]

Random Search Optimizer.

Example

>>> tuner = RandomSearchTuner({'My Component': {'param a': [0.0, 10.0], 'param b': ['a', 'b', 'c']}}, random_state=42)
>>> proposal = tuner.propose()
>>> assert proposal.keys() == {'My Component'}
>>> assert proposal['My Component'] == {'param a': 3.7454011884736254, 'param b': 'c'}

Methods

__init__

Sets up check for duplication if needed.

add

Not applicable to random search tuner as generated parameters are not dependent on scores of previous parameters.

is_search_space_exhausted

Checks if it is possible to generate a set of valid parameters.

propose

Generate a unique set of parameters.

Class Inheritance

Inheritance diagram of RandomSearchTuner