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

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

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    protected Long seed = null;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      final IntParameter mP = new IntParameter(M_ID, new GreaterEqualConstraint(2));
      if(config.grab(mP)) {
        m = mP.getValue();
      }
      final LongParameter seedP = new LongParameter(SEED_ID, true);
      if(config.grab(seedP)) {
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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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      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)) {
        num = NUM_PARAM.getValue();
      }
      Flag BREADTH_FLAG = new Flag(BREADTH_ID);
      if(config.grab(BREADTH_FLAG)) {
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       *
       * @param config Parameterization
       * @return number of steps, default 1
       */
      public static int getParameterSteps(Parameterization config) {
        final IntParameter param = new IntParameter(STEPS_ID, new GreaterEqualConstraint(1));
        if(config.grab(param)) {
          return param.getValue();
        }
        return 1;
      }
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       *
       * @param config Parameterization
       * @return number of steps, default 1
       */
      public static int getParameterSteps(Parameterization config) {
        final IntParameter param = new IntParameter(STEPS_ID, new GreaterEqualConstraint(1));
        if(config.grab(param)) {
          return param.getValue();
        }
        return 1;
      }
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     * Get the kNN parameter
     *
     * @param config Parameterization
     */
    protected void configK(Parameterization config) {
      final IntParameter param = new IntParameter(K_ID, new GreaterEqualConstraint(1));
      if(config.grab(param)) {
        k = param.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)) {
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      ObjectParameter<KMeansInitialization<V>> initialP = new ObjectParameter<KMeansInitialization<V>>(INIT_ID, KMeansInitialization.class, RandomlyGeneratedInitialMeans.class);
      if(config.grab(initialP)) {
        initializer = initialP.instantiateClass(config);
      }

      DoubleParameter deltaP = new DoubleParameter(DELTA_ID, new GreaterEqualConstraint(0.0), 0.0);
      if(config.grab(deltaP)) {
        delta = deltaP.getValue();
      }
    }
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    private double threshold;

    @Override
    protected void makeOptions(Parameterization config) {
      super.makeOptions(config);
      IntParameter maxLMDimP = new IntParameter(MAXDIM_ID, new GreaterEqualConstraint(1), true);
      if(config.grab(maxLMDimP)) {
        maxdim = maxLMDimP.getValue();
      }
      IntParameter minsizeP = new IntParameter(MINSIZE_ID, new GreaterEqualConstraint(1));
      if(config.grab(minsizeP)) {
        minsize = minsizeP.getValue();
      }
      IntParameter samplingLevelP = new IntParameter(SAMPLINGL_ID, 100);
      if(config.grab(samplingLevelP)) {
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      ObjectParameter<KMeansInitialization<V>> initialP = new ObjectParameter<KMeansInitialization<V>>(INIT_ID, KMeansInitialization.class, RandomlyGeneratedInitialMeans.class);
      if(config.grab(initialP)) {
        initializer = initialP.instantiateClass(config);
      }

      IntParameter maxiterP = new IntParameter(MAXITER_ID, new GreaterEqualConstraint(0), 0);
      if(config.grab(maxiterP)) {
        maxiter = maxiterP.getValue();
      }
    }
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