skglm.penalties.PositiveConstraint

class skglm.penalties.PositiveConstraint

Positivity constraint penalty.

__init__()

Methods

__init__()
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 the PositiveConstraint.
subdiff_distance(w, grad, ws)	Compute distance of negative gradient to the subdifferential at w.
value(w)	Compute the value of the PositiveConstraint penalty at w.