Package org.apache.spark.mllib.optimization

Interface Summary

Interface	Description
Optimizer	:: DeveloperApi :: Trait for optimization problem solvers.

Class Summary

Class	Description
Gradient	:: DeveloperApi :: Class used to compute the gradient for a loss function, given a single data point.
GradientDescent	Class used to solve an optimization problem using Gradient Descent.
HingeGradient	:: DeveloperApi :: Compute gradient and loss for a Hinge loss function, as used in SVM binary classification.
L1Updater	:: DeveloperApi :: Updater for L1 regularized problems.
LBFGS	:: DeveloperApi :: Class used to solve an optimization problem using Limited-memory BFGS.
LeastSquaresGradient	:: DeveloperApi :: Compute gradient and loss for a Least-squared loss function, as used in linear regression.
LogisticGradient	:: DeveloperApi :: Compute gradient and loss for a multinomial logistic loss function, as used in multi-class classification (it is also used in binary logistic regression).
SimpleUpdater	:: DeveloperApi :: A simple updater for gradient descent *without* any regularization.
SquaredL2Updater	:: DeveloperApi :: Updater for L2 regularized problems.
Updater	:: DeveloperApi :: Class used to perform steps (weight update) using Gradient Descent methods.