sklearn.linear_model.lasso_path 파라미터

lasso_path

sklearn.linear_model.lasso_path(X, y, *, eps=0.001, n_alphas=100, alphas=None, precompute='auto', Xy=None, copy_X=True, coef_init=None, verbose=False, return_n_iter=False, positive=False, **params)

lasso_path 파라미터

X{array-like, sparse matrix} of shape (n_samples, n_features)

y{array-like, sparse matrix} of shape (n_samples,) or (n_samples, n_targets)

epsfloat, 기본값=1e-3

n_alphasint, 기본값=100

alphasndarray, 기본값=None

precompute‘auto’, bool or array-like of shape (n_features, n_features), 기본값=’auto’

Xyarray-like of shape (n_features,) or (n_features, n_targets), 기본값=None

copy_Xbool, 기본값=True

coef_initndarray of shape (n_features, ), 기본값=None

verbosebool or int, 기본값=False

return_n_iterbool, 기본값=False

positivebool, 기본값=False

**paramskwargs