ml_grid.model_classes.mlp_classifier_class

MLP Classifier.

This module contains the mlp_classifier_class, which is a configuration class for the MLPClassifier. It provides parameter spaces for grid search and Bayesian optimization.

Classes

MLPClassifierClass

Initializes the MLPClassifierClass.

Module Contents

class ml_grid.model_classes.mlp_classifier_class.MLPClassifierClass(X: pandas.DataFrame | None = None, y: pandas.Series | None = None, parameter_space_size: str | None = None)[source]

Initializes the MLPClassifierClass.

Parameters:

  • X (Optional[pd.DataFrame]) – Feature matrix for training. Defaults to None.

  • y (Optional[pd.Series]) – Target vector for training. Defaults to None.

  • parameter_space_size (Optional[str]) – Size of the parameter space for optimization. Defaults to None.

Raises:

ValueError – If parameter_space_size is not a valid key (though current implementation does not explicitly raise this).

X: pandas.DataFrame | None = None[source]
y: pandas.Series | None = None[source]
algorithm_implementation: sklearn.neural_network.MLPClassifier[source]
method_name: str = 'MLPClassifier'[source]
parameter_vector_space: ml_grid.util.param_space.ParamSpace[source]
parameter_space: Dict[str, Any][source]