sparse_ho.criterion.HeldOutSmoothedHinge

class sparse_ho.criterion.HeldOutSmoothedHinge(idx_train, idx_val)

Smooth Hinge loss.

Parameters

idx_train: ndarray

indices of the training set

idx_val: ndarray

indices of the validation set

__init__(idx_train, idx_val)

idx_train: ndarray

indices of the training set

idx_val: ndarray

indices of the validation set

Methods

__init__(idx_train, idx_val)	Parameters: :2: (WARNING/2) Title underline too short. Parameters: ---------- idx_train: ndarray indices of the training set idx_val: ndarray indices of the validation set
get_val(model, X, y, log_alpha[, tol])	Get value of criterion.
get_val_grad(model, X, y, log_alpha, ...[, ...])	Get value and gradient of criterion.
get_val_outer(X, y, mask, dense)	Compute the smoothed Hinge on the validation set.
proj_hyperparam(model, X, y, log_alpha)	Project hyperparameter on a range of admissible values.