def _load_model(cls, fh):
params = _parse_literal(fh)
active = _parse_literal(fh)
coef_shape = _parse_literal(fh)
m = LassoLars().set_params(**params)
m.intercept_ = 0.0
n = int(np.prod(coef_shape)) * 8
m.coef_ = np.fromstring(fh.read(n)).reshape(coef_shape)
m.active_ = active
return m
