-
sklearn.linear_model.SGDOneClassSVM 파라미터<Python>/[Sklearn] 2022. 1. 8. 20:18728x90
sklearn.linear_model.SGDOneClassSVM 파라미터
class sklearn.linear_model.SGDOneClassSVM(nu=0.5, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, warm_start=False, average=False)
linear_model.SGDOneClassSVM 파라미터
nufloat, default=0.5
fit_interceptbool, default=True
max_iterint, default=1000
tolfloat or None, default=1e-3
shufflebool, default=True
verboseint, default=0
random_stateint, RandomState instance or None, default=None
learning_rate{‘constant’, ‘optimal’, ‘invscaling’, ‘adaptive’}, default=’optimal’
eta0float, default=0.0
power_tfloat, default=0.5
warm_startbool, default=False
averagebool or int, default=False
728x90'<Python> > [Sklearn]' 카테고리의 다른 글
sklearn.linear_model.Ridge 파라미터 (0) 2022.01.08 sklearn.linear_model.LinearRegression 파라미터 (0) 2022.01.08 sklearn.linear_model.SGDClassifier 파라미터 (0) 2022.01.08 sklearn.linear_model.RidgeClassifierCV 파라미터 (0) 2022.01.08 sklearn.linear_model.RidgeClassifier 파라미터 (0) 2022.01.08