-
sklearn.linear_model.RidgeClassifier 파라미터<Python>/[Sklearn] 2022. 1. 8. 19:22728x90
linear_model.RidgeClassifier
linear_model.RidgeClassifier 파라미터
alphafloat, default=1.0
fit_interceptbool, default=True
normalizebool, default=False
copy_Xbool, default=True
max_iterint, default=None
tolfloat, default=1e-3
class_weightdict or ‘balanced’, default=None
solver{‘auto’, ‘svd’, ‘cholesky’, ‘lsqr’, ‘sparse_cg’, ‘sag’, ‘saga’, ‘lbfgs’}, default=’auto’
positivebool, default=False
random_stateint, RandomState instance, default=None
728x90'<Python> > [Sklearn]' 카테고리의 다른 글
sklearn.linear_model.SGDClassifier 파라미터 (0) 2022.01.08 sklearn.linear_model.RidgeClassifierCV 파라미터 (0) 2022.01.08 sklearn.linear_model.Perceptron 파라미터 (0) 2022.01.08 sklearn.linear_model.PassiveAggressiveClassifier 파라미터 (0) 2022.01.08 sklearn.linear_model.LogisticRegressionCV 파라미터 (0) 2022.01.08