evalml.pipelines.components.LogisticRegressionClassifier

class evalml.pipelines.components.LogisticRegressionClassifier(penalty='l2', C=1.0, n_jobs=- 1, multi_class='auto', solver='lbfgs', random_state=None, random_seed=0, **kwargs)[source]

Logistic Regression Classifier.

name = 'Logistic Regression Classifier'
model_family = 'linear_model'
supported_problem_types = [<ProblemTypes.BINARY: 'binary'>, <ProblemTypes.MULTICLASS: 'multiclass'>, <ProblemTypes.TIME_SERIES_BINARY: 'time series binary'>, <ProblemTypes.TIME_SERIES_MULTICLASS: 'time series multiclass'>]
hyperparameter_ranges = {'C': Real(low=0.01, high=10, prior='uniform', transform='identity'), 'penalty': ['l2']}
default_parameters = {'C': 1.0, 'multi_class': 'auto', 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}
predict_uses_y = False

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 and random state.

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

Class Inheritance

Inheritance diagram of LogisticRegressionClassifier