Package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Examples of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter

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      PatternParameter positiveClassNameP = new PatternParameter(POSITIVE_CLASS_NAME_ID, true);
      if(config.grab(positiveClassNameP)) {
        positiveClassName = positiveClassNameP.getValue();
      }

      IntParameter binsP = new IntParameter(BINS_ID, new GreaterConstraint(1), 50);
      if(config.grab(binsP)) {
        bins = binsP.getValue();
      }

      ObjectParameter<ScalingFunction> scalingP = new ObjectParameter<ScalingFunction>(SCALING_ID, ScalingFunction.class, IdentityScaling.class);
      if(config.grab(scalingP)) {
        scaling = scalingP.instantiateClass(config);
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      protected int k = 0;

      @Override
      protected void makeOptions(Parameterization config) {
        super.makeOptions(config);
        final IntParameter kP = new IntParameter(K_ID, new GreaterConstraint(0), true);
        if(config.grab(kP)) {
          k = kP.getValue();
        }
      }
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        final DoubleParameter ALPHA_PARAM = new DoubleParameter(ALPHA_ID, new IntervalConstraint(0.0, IntervalConstraint.IntervalBoundary.OPEN, 1.0, IntervalConstraint.IntervalBoundary.OPEN), DEFAULT_ALPHA);
        if(config.grab(ALPHA_PARAM)) {
          alpha = ALPHA_PARAM.getValue();
        }

        final IntParameter K_PARAM = new IntParameter(K_ID, new GreaterConstraint(0), true);
        if(config.grab(K_PARAM)) {
          k = K_PARAM.getValue();
        }
      }
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      protected Strategy strategy;

      @Override
      protected void makeOptions(Parameterization config) {
        super.makeOptions(config);
        final IntParameter minptsP = new IntParameter(MINPTS_ID, new GreaterConstraint(0));
        if(config.grab(minptsP)) {
          minpts = minptsP.getValue();
        }

        // parameter epsilon
        // todo: constraint auf positive werte
        List<Double> defaultEps = new ArrayList<Double>();
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    protected Integer k;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter kP = new IntParameter(K_ID, new GreaterEqualConstraint(2));
      if(config.grab(kP)) {
        k = kP.getValue();
      }
      final IntParameter phiP = new IntParameter(PHI_ID, new GreaterEqualConstraint(2));
      if(config.grab(phiP)) {
        phi = phiP.getValue();
      }
    }
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    protected PrimitiveSimilarityFunction<V, DoubleDistance> primitiveKernelFunction = null;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter kP = new IntParameter(K_ID, new GreaterEqualConstraint(1), 30);
      if(config.grab(kP)) {
        k = kP.getValue();
      }
      final IntParameter sampleSizeP = new IntParameter(FAST_SAMPLE_ID, new GreaterEqualConstraint(1), true);
      if(config.grab(sampleSizeP)) {
        sampleSize = sampleSizeP.getValue();
      }
      final ObjectParameter<PrimitiveSimilarityFunction<V, DoubleDistance>> param = new ObjectParameter<PrimitiveSimilarityFunction<V, DoubleDistance>>(KERNEL_FUNCTION_ID, PrimitiveSimilarityFunction.class, PolynomialKernelFunction.class);
      if(config.grab(param)) {
        primitiveKernelFunction = param.instantiateClass(config);
      }
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    private int maxdim = MAX_DIMENSIONS_DEFAULT;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter maxdimP = new IntParameter(MAXDIM_ID, new GreaterEqualConstraint(1), MAX_DIMENSIONS_DEFAULT);
      if(config.grab(maxdimP)) {
        maxdim = maxdimP.getValue();
      }
    }
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    protected DistanceFunction<O, D> comparisonDistanceFunction = null;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter kcompP = new IntParameter(KCOMP_ID, new GreaterConstraint(1));
      if(config.grab(kcompP)) {
        kcomp = kcompP.getValue();
      }

      final ObjectParameter<DistanceFunction<O, D>> compDistP = new ObjectParameter<DistanceFunction<O, D>>(COMPARISON_DISTANCE_FUNCTION_ID, DistanceFunction.class, EuclideanDistanceFunction.class);
      if(config.grab(compDistP)) {
        comparisonDistanceFunction = compDistP.instantiateClass(config);
      }

      final IntParameter kreachP = new IntParameter(KREACH_ID, new GreaterConstraint(1), true);
      if(config.grab(kreachP)) {
        kreach = kreachP.getValue();
      }
      else {
        kreach = kcomp;
      }
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    protected int quant = 0;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter param = new IntParameter(BINSPERPLANE_ID);
      if(config.grab(param)) {
        quant = param.getValue();
      }
    }
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    private int maxdim = ScatterPlotFactory.MAX_DIMENSIONS_DEFAULT;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter maxdimP = new IntParameter(ScatterPlotFactory.Parameterizer.MAXDIM_ID, new GreaterEqualConstraint(1), ScatterPlotFactory.MAX_DIMENSIONS_DEFAULT);
      if(config.grab(maxdimP)) {
        maxdim = maxdimP.getValue();
      }
    }
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  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.EM$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans$Parameterizer
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