def __init__(self, penalty='l1', dual=None, C=None, alpha=None):
self.l1 = True if penalty=="l1" else False
if self.l1:
Lasso.__init__(self, alpha=alpha)
else:
Ridge.__init__(self, alpha=alpha)
def __init__(self, X, y, lmbd, rank_tol=None):
Regression.__init__(self,
X,
y,
lmbd=lmbd,
solve_method=None,
rank_tol=rank_tol)
Lasso.__init__(self, alpha=lmbd, fit_intercept=False)
self.fit(X, y)
def __init__(self,
alpha=1.0,
fit_intercept=True,
normalize=False,
precompute=False,
copy_X=True,
max_iter=1000,
tol=1e-4,
warm_start=False,
positive=False,
random_state=None,
selection='cyclic'):
_LassoReg.__init__(self, alpha, fit_intercept, normalize, precompute,
copy_X, max_iter, tol, warm_start, positive,
random_state, selection)
BaseWrapperReg.__init__(self)