piml.models.GLMClassifier¶
- class piml.models.GLMClassifier(feature_names=None, feature_types=None, *args, **kwargs)¶
A wrapper of generalized linear model classifier in scikit-learn.
- Parameters:
- feature_nameslist or None, default=None
The list of feature names.
- feature_typeslist or None, default=None
The list of feature types. Available types include “numerical” and “categorical”.
- l1_regularization: float, default=0
The strength of l1 regularization, l1_regularization must be non-negative float.
- l2_regularization: float, default=0
The strength of l2 regularization, l2_regularization must be non-negative float.
- Attributes:
- feature_names_list of str
The feature name list of all input features.
- feature_types_list of str
The feature type list of all input features.
