evalml.pipelines.components.LogisticRegressionClassifier

class evalml.pipelines.components.LogisticRegressionClassifier(penalty='l2', C=1.0, n_jobs=-1, random_state=0)

Logistic Regression Classifier

name = 'Logistic Regression Classifier'

model_family = 'linear_model'

supported_problem_types = [<ProblemTypes.BINARY: 'binary'>, <ProblemTypes.MULTICLASS: 'multiclass'>]

hyperparameter_ranges = {'C': Real(low=0.01, high=10, prior='uniform', transform='identity'), 'penalty': ['l2']}

Instance attributes

feature_importances

Returns feature importances.

Methods:

__init__	Initialize self.
describe	Describe a component and its parameters
fit	Fits component to data
predict	Make predictions using selected features.
predict_proba	Make probability estimates for labels.