evalml.pipelines.components.LogisticRegressionClassifier

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

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']}

default_parameters = {'C': 1.0, 'n_jobs': -1, 'penalty': 'l2'}

Instance attributes

feature_importance	Return an attribute of instance, which is of type owner.
needs_fitting
parameters	Returns the parameters which were used to initialize the component

Methods:

__init__	Initialize self.
clone	Constructs a new component with the same parameters
describe	Describe a component and its parameters
fit	Fits component to data
load	Loads component at file path
predict	Make predictions using selected features.
predict_proba	Make probability estimates for labels.
save	Saves component at file path

evalml.pipelines.components.RandomForestClassifier.save evalml.pipelines.components.LogisticRegressionClassifier.__init__