Package org.data2semantics.proppred.learners.evaluation

Examples of org.data2semantics.proppred.learners.evaluation.MeanSquaredError

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    List<EvaluationFunction> evalFuncs1 = new ArrayList<EvaluationFunction>();
    evalFuncs1.add(new Task1ScoreForBins(bins));

    List<EvaluationFunction> evalFuncs2 = new ArrayList<EvaluationFunction>();
    evalFuncs2.add(new Task1Score());
    evalFuncs2.add(new MeanSquaredError());
    evalFuncs2.add(new MeanAbsoluteError());


    LibLINEARParameters linParms = new LibLINEARParameters(LibLINEARParameters.SVC_DUAL, cs);
    linParms.setEvalFunction(new Task1ScoreForBothBins(bins));
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    break;
    case SVC_PRIMAL: solver = SolverType.L2R_L2LOSS_SVC;
    evalFunction = new Accuracy();
    break;
    case SVR_DUAL: solver = SolverType.L2R_L2LOSS_SVR_DUAL;
    evalFunction = new MeanSquaredError();
    break;
    case SVR_PRIMAL: solver = SolverType.L2R_L2LOSS_SVR;
    evalFunction = new MeanSquaredError();
    break;
    case LR_DUAL: solver = SolverType.L2R_LR_DUAL;
    evalFunction = new Accuracy();
    break;
    case LR_PRIMAL: solver = SolverType.L2R_LR;
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    verbose = false;
    ps = new double[1];
    ps[0] = 0.1;

    switch (algorithm) {
    case EPSILON_SVR: evalFunction = new MeanSquaredError(); break;
    case NU_SVR: evalFunction = new MeanSquaredError(); break;
    default: evalFunction = new Accuracy();

    }

    numFolds = 10;
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Related Classes of org.data2semantics.proppred.learners.evaluation.MeanSquaredError

  • org.data2semantics.exp.dmold.Task1Experiment
  • org.data2semantics.proppred.learners.liblinear.LibLINEARParameters
  • org.data2semantics.proppred.learners.libsvm.LibSVMParameters
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