sklearn.linear_model.Ridge 파라미터

linear_model.Ridge

class sklearn.linear_model.Ridge(alpha=1.0, *, fit_intercept=True, normalize='deprecated', copy_X=True, max_iter=None, tol=0.001, solver='auto', positive=False, random_state=None)

||y - Xw||^2_2 + alpha * ||w||^2_2

 

linear_model.Ridge 파라미터

alpha{float, ndarray of shape (n_targets,)}, default=1.0

fit_interceptbool, default=True

normalizebool, default=False

copy_Xbool, default=True

max_iterint, default=None

tolfloat, default=1e-3

solver{‘auto’, ‘svd’, ‘cholesky’, ‘lsqr’, ‘sparse_cg’, ‘sag’, ‘saga’, ‘lbfgs’}, default=’auto’

positivebool, default=False

random_stateint, RandomState instance, default=None