optimization

Type Members

1. abstract class Gradient extends Serializable

   Class used to compute the gradient for a loss function, given a single data point.

2. class GradientDescent extends Optimizer with Logging

   Class used to solve an optimization problem using Gradient Descent.

3. class HingeGradient extends Gradient

   Compute gradient and loss for a Hinge loss function.

4. class L1Updater extends Updater

   Updater that adjusts learning rate and performs L1 regularization.

5. class LogisticGradient extends Gradient

   Compute gradient and loss for a logistic loss function.

6. trait Optimizer extends AnyRef

7. class SimpleUpdater extends Updater

   A simple updater that adaptively adjusts the learning rate the square root of the number of iterations.

8. class SquaredGradient extends Gradient

   Compute gradient and loss for a Least-squared loss function.

9. class SquaredL2Updater extends Updater

   Updater that adjusts the learning rate and performs L2 regularization

10. abstract class Updater extends Serializable

    Class used to update weights used in Gradient Descent.