com.rapidminer.operator.learner.functions.kernel.jmysvm.svm
Class SVMpattern

java.lang.Object
  com.rapidminer.operator.learner.functions.kernel.jmysvm.svm.SVM
      com.rapidminer.operator.learner.functions.kernel.jmysvm.svm.SVMpattern

All Implemented Interfaces:

SVMInterface

public class SVMpattern
extends SVM

Class for pattern recognition SVM

Author:

Stefan Rueping, Ingo Mierswa

Field Summary

Fields inherited from class com.rapidminer.operator.learner.functions.kernel.jmysvm.svm.SVM

at_bound, C, cNeg, convergence_epsilon, cPos, descend, epsilon_neg, epsilon_pos, examples_total, feasible_epsilon, is_zero, lambda_eq, lambda_factor, lambda_WS, parameters_working_set_size, primal, qp, quadraticLossNeg, quadraticLossPos, shrink_const, sum, sum_alpha, target_count, the_examples, the_kernel, to_shrink, which_alpha, working_set, working_set_size

Constructor Summary

SVMpattern()

SVMpattern(Operator paramOperator, Kernel kernel, SVMExamples sVMExamples, ExampleSet rapidMinerExamples, RandomGenerator randomGenerator)

Method Summary

protected double[]	getAlphas()
protected boolean	is_alpha_neg(int i)
protected double	nabla(int i)
protected void	optimize() Calls the optimizer
protected void	print_statistics() print statistics about result

Methods inherited from class com.rapidminer.operator.learner.functions.kernel.jmysvm.svm.SVM

calculate_working_set, check, convergence, exit_optimizer, feasible, getB, getC, getWeights, getXiAlphaEstimation, init_optimizer, init_working_set, init, lambda, logln, logWarning, predict, predict, predict, project_to_constraint, put_optimizer_values, reset_shrinked, shrink, train, update_working_set

Methods inherited from class java.lang.Object

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

Constructor Detail

SVMpattern

public SVMpattern()

SVMpattern

public SVMpattern(Operator paramOperator,
                  Kernel kernel,
                  SVMExamples sVMExamples,
                  ExampleSet rapidMinerExamples,
                  RandomGenerator randomGenerator)
           throws UndefinedParameterError

Throws:

UndefinedParameterError

Method Detail

optimize

protected void optimize()

Calls the optimizer

Specified by:

optimize in class SVM

getAlphas

protected double[] getAlphas()

is_alpha_neg

protected final boolean is_alpha_neg(int i)

Specified by:

is_alpha_neg in class SVM

nabla

protected final double nabla(int i)

Specified by:

nabla in class SVM

print_statistics

protected void print_statistics()

Description copied from class: SVM

print statistics about result

Overrides:

print_statistics in class SVM