eckity.sklearn_compatible.sk_regressor

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1from sklearn.base import RegressorMixin
2
3from eckity.sklearn_compatible.sklearn_wrapper import SklearnWrapper
4
5
6class SKRegressor(SklearnWrapper, RegressorMixin):
7    pass

class SKRegressor(eckity.sklearn_compatible.sklearn_wrapper.SklearnWrapper, sklearn.base.RegressorMixin): View Source

7class SKRegressor(SklearnWrapper, RegressorMixin):
8    pass

Sklearn-compatible wrapper to support evolution using sklearn methods.

Parameters

algorithm (Algorithm): Wrapped Evolutionary algorithm. The Wrapper invokes 'evolve' and 'execute' methods of the algorithm during the fitting and prediction process, respectively.

Attributes

is_fitted (bool): Determines if the model is fitted (evolved).

Inherited Members

eckity.sklearn_compatible.sklearn_wrapper.SklearnWrapper: SklearnWrapper; algorithm; fit; predict; get_params; set_params; partial_fit
sklearn.base.RegressorMixin: score