sklearn.linear_model.LassoLars 파라미터

sklearn.linear_model.LassoLars

class sklearn.linear_model.LassoLars(alpha=1.0, *, fit_intercept=True, verbose=False, normalize='deprecated', precompute='auto', max_iter=500, eps=2.220446049250313e-16, copy_X=True, fit_path=True, positive=False, jitter=None, random_state=None)

 

sklearn.linear_model.LassoLars 파라미터

alphafloat, default=1.0

fit_interceptbool, default=True

verbosebool or int, default=False

normalizebool, default=True

precomputebool, ‘auto’ or array-like, default=’auto’

max_iterint, default=500

epsfloat, default=np.finfo(float).eps

copy_Xbool, default=True

fit_pathbool, default=True

positivebool, default=False

jitterfloat, default=None

random_stateint, RandomState instance or None, default=None