skglm.penalties.L0_5

class skglm.penalties.L0_5(alpha)

`ell_(0.5)` non-convex quasi-norm penalty.

__init__(alpha)

Methods

__init__(alpha)
derivative(w)	Compute the element-wise derivative.
generalized_support(w)	Return a mask with non-zero coefficients.
get_spec()	Specify the numba types of the class attributes.
is_penalized(n_features)	Return a binary mask with the penalized features.
params_to_dict()	Get the parameters to initialize an instance of the class.
prox_1d(value, stepsize, j)	Compute the proximal operator of L0_5.
prox_vec(x, stepsize)
subdiff_distance(w, grad, ws)	Compute distance of negative gradient to the subdifferential at w.
value(w)	Compute the value of L0_5 at w.