AbstractSweeper class

Definition

Base class for all sweepers.

AbstractSweeper(sweeper_class: str, name: str, data_provider: typing.Union[azureml.automl.runtime.sampling.data_provider.DataProvider, NoneType] = None, baseline: typing.Union[sklearn.pipeline.Pipeline, NoneType] = None, experiment: typing.Union[sklearn.pipeline.Pipeline, NoneType] = None, estimator: typing.Union[sklearn.base.BaseEstimator, NoneType] = None, scorer: typing.Union[azureml.automl.runtime.scoring.abstract_scorer.AbstractScorer, NoneType] = None, epsilon: float = 0.01, include_baseline_features_in_experiment: bool = True, task: str = 'classification', use_cross_validation: bool = False, *args: typing.Any, **kwargs: typing.Any) -> None
Inheritance
builtins.object
AbstractSweeper

Methods

sweep(column: typing.Union[typing.List[str], str, NoneType] = None, *args: typing.Any, **kwargs: typing.Any) -> bool

Sweep over parameters provided and return if experiment was better than baseline.

sweep(column: typing.Union[typing.List[str], str, NoneType] = None, *args: typing.Any, **kwargs: typing.Any) -> bool

Sweep over parameters provided and return if experiment was better than baseline.

sweep(column: typing.Union[typing.List[str], str, NoneType] = None, *args: typing.Any, **kwargs: typing.Any) -> bool

Parameters

column

The set of columns to sweep on.

Returns

To be enabled list of transforms.

Attributes

config

Return string presentation of the object.