Package org.apache.spark.mllib.optimization
package org.apache.spark.mllib.optimization

ClassDescriptionClass 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 Limitedmemory BFGS.Compute gradient and loss for a Leastsquared loss function, as used in linear regression.Compute gradient and loss for a multinomial logistic loss function, as used in multiclass classification (it is also used in binary logistic regression).Object used to solve nonnegative least squares problems using a modified projected gradient method.Trait for optimization problem solvers.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.