Trait for optimization problem solvers.
Class used to compute the gradient for a loss function, given a single data point.
Class used to solve an optimization problem using Gradient Descent.
Compute gradient and loss for a Hinge loss function, as used in SVM binary classification.
Updater for L1 regularized problems.
Class used to solve an optimization problem using Limited-memory BFGS.
Compute gradient and loss for a Least-squared loss function, as used in linear regression.
Compute gradient and loss for a multinomial logistic loss function, as used in multi-class classification (it is also used in binary logistic regression).
Object used to solve nonnegative least squares problems using a modified projected gradient method.
A simple updater for gradient descent *without* any regularization.
Updater for L2 regularized problems.
Class used to perform steps (weight update) using Gradient Descent methods.