-
sklearn.linear_model.MultiTaskElasticNet 파라미터<Python>/[Sklearn] 2022. 1. 11. 18:55728x90
sklearn.linear_model.MultiTaskElasticNet 파라미터
class sklearn.linear_model.MultiTaskElasticNet(alpha=1.0, *, l1_ratio=0.5, fit_intercept=True, normalize='deprecated', copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, random_state=None, selection='cyclic')
sklearn.linear_model.MultiTaskElasticNet 파라미터
alphafloat, default=1.0
l1_ratiofloat, default=0.5
fit_interceptbool, default=True
normalizebool, default=False
copy_Xbool, default=True
max_iterint, default=1000
tolfloat, default=1e-4
warm_startbool, default=False
random_stateint, RandomState instance, default=None
selection{‘cyclic’, ‘random’}, default=’cyclic’
728x90'<Python> > [Sklearn]' 카테고리의 다른 글
sklearn.linear_model.MultiTaskLasso 파리미터 (0) 2022.01.13 sklearn.linear_model.MultiTaskElasticNetCV 파라미터 (0) 2022.01.13 sklearn.linear_model.BayesianRidge 파라미터 (0) 2022.01.11 sklearn.linear_model.ARDRegression 파라미터 (0) 2022.01.11 sklearn.linear_model.OrthogonalMatchingPursuitCV 파라미터 (0) 2022.01.11