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

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

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          epsilon = epsilonP.getValue();
        }
      }

      protected void configMinPts(Parameterization config) {
        IntParameter minptsP = new IntParameter(AbstractProjectedDBSCAN.MINPTS_ID, new GreaterConstraint(0));
        if(config.grab(minptsP)) {
          minpts = minptsP.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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     */
    private double p;

    @Override
    protected void makeOptions(Parameterization config) {
      final DoubleParameter paramP = new DoubleParameter(LPNormDistanceFunction.P_ID, new GreaterConstraint(0));
      if(config.grab(paramP)) {
        p = paramP.getValue();
      }
      super.makeOptions(config);
    }
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    int numCandidates = 32;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter insertionCandidatesP = new IntParameter(INSERTION_CANDIDATES_ID, new GreaterConstraint(0), numCandidates);
      if(config.grab(insertionCandidatesP)) {
        numCandidates = insertionCandidatesP.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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      ObjectParameter<EigenPairFilter> EIGENPAIR_FILTER_PARAM = new ObjectParameter<EigenPairFilter>(PCA_EIGENPAIR_FILTER, EigenPairFilter.class, PercentageEigenPairFilter.class);
      if(config.grab(EIGENPAIR_FILTER_PARAM)) {
        eigenPairFilter = EIGENPAIR_FILTER_PARAM.instantiateClass(config);
      }

      DoubleParameter BIG_PARAM = new DoubleParameter(BIG_ID, new GreaterConstraint(0), 1.0);
      if(config.grab(BIG_PARAM)) {
        big = BIG_PARAM.getValue();

      }
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          epsilon = epsilonP.getValue();
        }
      }

      protected void configMinPts(Parameterization config) {
        IntParameter minptsP = new IntParameter(AbstractProjectedDBSCAN.MINPTS_ID, new GreaterConstraint(0));
        if(config.grab(minptsP)) {
          minpts = minptsP.getValue();
        }
      }
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    protected int k_max;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter k_maxP = new IntParameter(K_MAX_ID, new GreaterConstraint(0));

      if (config.grab(k_maxP)) {
        k_max = k_maxP.getValue();
      }
    }
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    protected int k_max = 0;
   
    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter k_maxP = new IntParameter(K_ID, new GreaterConstraint(0));
      if (config.grab(k_maxP)) {
        k_max = k_maxP.getValue();
      }
    }
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    private int k = 0;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter kP = new IntParameter(K_ID, new GreaterConstraint(1));
      if(config.grab(kP)) {
        k = kP.getValue();
      }
     
      final ObjectParameter<DistanceFunction<? super O, D>> parentDistanceP = new ObjectParameter<DistanceFunction<? super O, D>>(DISTANCE_FUNCTION_ID, DistanceFunction.class, EuclideanDistanceFunction.class);
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