Hierarchy For Package gov.sandia.cognition.learning.algorithm.svm

Package Hierarchies:

• All Packages

Class Hierarchy

• java.lang.Object
  • gov.sandia.cognition.util.AbstractCloneableSerializable (implements gov.sandia.cognition.util.CloneableSerializable)
    • gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm (implements gov.sandia.cognition.algorithm.IterativeAlgorithm)
      • gov.sandia.cognition.algorithm.AbstractAnytimeAlgorithm<ResultType> (implements gov.sandia.cognition.algorithm.AnytimeAlgorithm<ResultType>)
        • gov.sandia.cognition.learning.algorithm.AbstractAnytimeBatchLearner<DataType,ResultType> (implements gov.sandia.cognition.learning.algorithm.AnytimeBatchLearner<DataType,ResultType>)
          • gov.sandia.cognition.learning.algorithm.AbstractAnytimeSupervisedBatchLearner<InputType,OutputType,ResultType> (implements gov.sandia.cognition.learning.algorithm.SupervisedBatchLearner<InputType,OutputType,ResultType>)
            • gov.sandia.cognition.learning.algorithm.svm.PrimalEstimatedSubGradient (implements gov.sandia.cognition.util.Randomized)
            • gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization<InputType> (implements gov.sandia.cognition.learning.function.kernel.KernelContainer<InputType>, gov.sandia.cognition.algorithm.MeasurablePerformanceAlgorithm, gov.sandia.cognition.util.Randomized)
            • gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation<InputType> (implements gov.sandia.cognition.algorithm.MeasurablePerformanceAlgorithm)
    • gov.sandia.cognition.util.AbstractWeighted (implements gov.sandia.cognition.util.Weighted)
      • gov.sandia.cognition.util.DefaultWeightedValue<ValueType> (implements gov.sandia.cognition.util.WeightedValue<ValueType>)
        • gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation.Entry (implements java.lang.Comparable<T>)