ml_grid.model_classes.tpot_classifier_class

TPOT Classifier Configuration.

This module contains the TPOTClassifierClass, which is a configuration class for the TPOTClassifierWrapper. It provides parameter spaces for grid search and Bayesian optimization, with a focus on providing a fast default for unit testing.

Attributes

logger

Classes

TPOTClassifierClass

Configuration class for TPOTClassifierWrapper.

Module Contents

ml_grid.model_classes.tpot_classifier_class.logger

class ml_grid.model_classes.tpot_classifier_class.TPOTClassifierClass(X: pandas.DataFrame | None = None, y: pandas.Series | None = None, parameter_space_size: str | None = None)

Configuration class for TPOTClassifierWrapper.

X = None

y = None

algorithm_implementation

method_name = 'TPOTClassifier'

parameter_space: List[Dict[str, Any]] | Dict[str, Any]