-
sklearn.linear_model.MultiTaskLassoCV 파라미터<Python>/[Sklearn] 2022. 1. 13. 20:33728x90
MultiTaskLassoCV
class sklearn.linear_model.MultiTaskLassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, normalize='deprecated', max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, random_state=None, selection='cyclic')
MultiTaskLassoCV 파라미터
epsfloat, default=1e-3
n_alphasint, default=100
alphasarray-like, default=None
fit_interceptbool, default=True
normalizebool, default=False
max_iterint, default=1000
tolfloat, default=1e-4
copy_Xbool, default=True
cvint, cross-validation generator or iterable, default=None
verbosebool or int, default=False
n_jobsint, default=None
random_stateint, RandomState instance, default=None
selection{‘cyclic’, ‘random’}, default=’cyclic’
728x90'<Python> > [Sklearn]' 카테고리의 다른 글
sklearn.linear_model.QuantileRegressor 파라미터 (0) 2022.01.13 sklearn.linear_model.HuberRegressor 파라미터 (0) 2022.01.13 sklearn.linear_model.MultiTaskLasso 파리미터 (0) 2022.01.13 sklearn.linear_model.MultiTaskElasticNetCV 파라미터 (0) 2022.01.13 sklearn.linear_model.MultiTaskElasticNet 파라미터 (0) 2022.01.11