sklearn.linear_model.LogisticRegressionCV 파라미터

linear_model.LogisticRegressionCV 파라미터

 

 

linear_model.LogisticRegressionCV 파라미터

Csint or list of floats, default=10

fit_interceptbool, default=True

cvint or cross-validation generator, default=None

dualbool, default=False

penalty{‘l1’, ‘l2’, ‘elasticnet’}, default=’l2’

scoringstr or callable, default=None

solver{‘newton-cg’, ‘lbfgs’, ‘liblinear’, ‘sag’, ‘saga’}, default=’lbfgs’

tolfloat, default=1e-4

max_iterint, default=100

class_weightdict or ‘balanced’, default=None

 

n_jobsint, default=None

verboseint, default=0

refitbool, default=True

intercept_scalingfloat, default=1

multi_class{‘auto, ‘ovr’, ‘multinomial’}, default=’auto’

random_stateint, RandomState instance, default=None

l1_ratioslist of float, default=None