Package gov.nih.mipav.model.algorithms

Class SVM.VlSvmStatistics

java.lang.Object
gov.nih.mipav.model.algorithms.SVM.VlSvmStatistics
Enclosing class:
SVM
public class SVM.VlSvmStatistics extends Object

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    (package private) double
    dualityGap
    invalid input: '<' Dual loss value.
    (package private) double
    dualLoss
    invalid input: '<' Dual objective value.
    (package private) double
    dualObjective
    invalid input: '<' Loss value.
    (package private) double
    elapsedTime
    invalid input: '<' Variance of the score updates.
    (package private) int
    epoch
    invalid input: '<' Solver iteration.
    (package private) int
    iteration
    invalid input: '<' Solver status.
    (package private) double
    loss
    invalid input: '<' Regularizer value.
    (package private) double
    objective
    invalid input: '<' Solver epoch (iteration / num samples).
    (package private) double
    regularizer
    invalid input: '<' Objective function value.
    (package private) double
    scoresVariation
    invalid input: '<' Duality gap = objective - dualObjective.
    (package private) SVM.VlSvmSolverStatus
    status
     

  • Constructor Summary

    Constructors
    Constructor
    Description
    VlSvmStatistics()
     

  • Method Summary

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Field Details

    • status

      SVM.VlSvmSolverStatus status

    • iteration

      int iteration
      invalid input: '<' Solver status.

    • epoch

      int epoch
      invalid input: '<' Solver iteration.

    • objective

      double objective
      invalid input: '<' Solver epoch (iteration / num samples).

    • regularizer

      double regularizer
      invalid input: '<' Objective function value.

    • loss

      double loss
      invalid input: '<' Regularizer value.

    • dualObjective

      double dualObjective
      invalid input: '<' Loss value.

    • dualLoss

      double dualLoss
      invalid input: '<' Dual objective value.

    • dualityGap

      double dualityGap
      invalid input: '<' Dual loss value.

    • scoresVariation

      double scoresVariation
      invalid input: '<' Duality gap = objective - dualObjective.

    • elapsedTime

      double elapsedTime
      invalid input: '<' Variance of the score updates.

  • Constructor Details

    • VlSvmStatistics

      public VlSvmStatistics()