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java.lang.Objectedu.udo.cs.mySVM.SVM.SVM
edu.udo.cs.mySVM.SVM.SVMregression
public class SVMregression
Class for regression SVM
| Field Summary |
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| Fields inherited from class edu.udo.cs.mySVM.SVM.SVM |
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alphas, at_bound, C, Cneg, convergence_epsilon, Cpos, descend, epsilon_neg, epsilon_pos, examples_total, feasible_epsilon, heap_max, heap_min, is_zero, lambda_eq, lambda_factor, lambda_WS, parameters_working_set_size, primal, qp, quadraticLossNeg, quadraticLossPos, shrink_const, shrinked, sum, sum_alpha, target_count, the_examples, the_kernel, to_shrink, which_alpha, working_set, working_set_size, ys |
| Constructor Summary | |
|---|---|
SVMregression()
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SVMregression(Operator paramOperator,
Kernel kernel,
ExampleSet exampleSet,
ExampleSet yaleExamples)
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| Method Summary | |
|---|---|
protected boolean |
is_alpha_neg(int i)
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protected double |
nabla(int i)
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protected void |
optimize()
Calls the optimizer |
| Methods inherited from class edu.udo.cs.mySVM.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, print_statistics, project_to_constraint, put_optimizer_values, reset_shrinked, shrink, train, update_working_set |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public SVMregression()
public SVMregression(Operator paramOperator,
Kernel kernel,
ExampleSet exampleSet,
ExampleSet yaleExamples)
throws UndefinedParameterError
UndefinedParameterError| Method Detail |
|---|
protected void optimize()
optimize in class SVMprotected final boolean is_alpha_neg(int i)
is_alpha_neg in class SVMprotected final double nabla(int i)
nabla in class SVM
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