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

Examples of de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GreaterConstraint

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    protected Long seed = null;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter pK = new IntParameter(LOF.K_ID, new GreaterConstraint(1));
      if(config.grab(pK)) {
        k = pK.getValue();
      }
      IntParameter NUM_PARAM = new IntParameter(NUM_ID, new GreaterEqualConstraint(1));
      if(config.grab(NUM_PARAM)) {
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    private SharedNearestNeighborSimilarityFunction<V> similarityFunction;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter knnP = new IntParameter(KNN_ID, new GreaterConstraint(0), 1);
      if(config.grab(knnP)) {
        knn = knnP.getValue();
      }

      final DoubleParameter alphaP = new DoubleParameter(ALPHA_ID, new GreaterConstraint(0), 1.1);
      if(config.grab(alphaP)) {
        alpha = alphaP.getValue();
      }

      Class<SharedNearestNeighborSimilarityFunction<V>> cls = ClassGenericsUtil.uglyCastIntoSubclass(SharedNearestNeighborSimilarityFunction.class);
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    protected int k = 0;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final DoubleParameter mP = new DoubleParameter(M_ID, new GreaterConstraint(0.0), 1.0);
      if(config.grab(mP)) {
        m = mP.getValue();
      }

      final IntParameter kP = new IntParameter(K_ID, new GreaterConstraint(1));
      if(config.grab(kP)) {
        k = kP.getValue();
      }
    }
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    protected int minpts = 0;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter param = new IntParameter(OPTICS.MINPTS_ID, new GreaterConstraint(1));
      if(config.grab(param)) {
        minpts = param.getValue();
      }
    }
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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);
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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
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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;
      }

      final ObjectParameter<DistanceFunction<O, D>> reachDistP = new ObjectParameter<DistanceFunction<O, D>>(REACHABILITY_DISTANCE_FUNCTION_ID, DistanceFunction.class, true);
      if(config.grab(reachDistP)) {
        reachabilityDistanceFunction = reachDistP.instantiateClass(config);
      }

      // TODO: make default 1.0?
      final DoubleParameter lambdaP = new DoubleParameter(LAMBDA_ID, new GreaterConstraint(0.0), 2.0);
      if(config.grab(lambdaP)) {
        lambda = lambdaP.getValue();
      }
    }
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    private ReferencePointsHeuristic<V> refp;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter pK = new IntParameter(K_ID, new GreaterConstraint(1));
      if(config.grab(pK)) {
        k = pK.getValue();
      }
      final ObjectParameter<ReferencePointsHeuristic<V>> refpP = new ObjectParameter<ReferencePointsHeuristic<V>>(REFP_ID, ReferencePointsHeuristic.class, GridBasedReferencePoints.class);
      if(config.grab(refpP)) {
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