@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter startp = new IntParameter(START_ID, 0); if(config.grab(startp)) { start = startp.intValue(); } IntParameter countp = new IntParameter(COUNT_ID); if(config.grab(countp)) { count = countp.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter kP = new IntParameter(LOF.Parameterizer.K_ID); if(config.grab(kP)) { k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); final IntParameter externalIdIndexParam = new IntParameter(EXTERNALID_INDEX_ID); if(config.grab(externalIdIndexParam)) { externalIdIndex = externalIdIndexParam.intValue(); } }
/** * Configure the kNN parameter. * * @param config Parameter source */ protected void configK(Parameterization config) { IntParameter kP = new IntParameter(K_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(kP)) { settings.k = kP.intValue(); } }
/** * Configure the kNN parameter. * * @param config Parameter source */ protected void configK(Parameterization config) { IntParameter kP = new IntParameter(K_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(kP)) { settings.k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); final IntParameter pK = new IntParameter(K_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(pK)) { k = pK.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter minclustersP = new IntParameter(MINCLUSTERS_ID) // .addConstraint(CommonConstraints.GREATER_THAN_ONE_INT); if(config.grab(minclustersP)) { minclusters = minclustersP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); final IntParameter pK = new IntParameter(K_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(pK)) { k = pK.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter kP = new IntParameter(KNN_ID, 15) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(kP)) { k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter maxdimP = new IntParameter(ScatterPlotFactory.Parameterizer.MAXDIM_ID, ScatterPlotFactory.MAX_DIMENSIONS_DEFAULT) // .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT); if(config.grab(maxdimP)) { maxdim = maxdimP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter leafP = new IntParameter(MinimalisticMemoryKDTree.Factory.Parameterizer.LEAFSIZE_P, 1) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(leafP)) { leafsize = leafP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(numclustersP)) { numclusters = numclustersP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter leafP = new IntParameter(LEAFSIZE_P, 1) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(leafP)) { leafsize = leafP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter k_maxP = new IntParameter(K_ID); k_maxP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(k_maxP)) { settings.kmax = k_maxP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { IntParameter variatesP = new IntParameter(VARIATES_ID)// .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(variatesP)) { variates = variatesP.intValue(); if(variates == 1) { LOG.warning("For univariate series, you should not need to use this filter."); } } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter kP = new IntParameter(K_ID, 1)// .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(kP)) { k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter dimP = new IntParameter(DIM_P)// .setOptional(true)// .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); dim = config.grab(dimP) ? dimP.intValue() : -1; }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); final IntParameter kP = new IntParameter(K_ID) // .addConstraint(new GreaterEqualConstraint(3)); if(config.grab(kP)) { k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter kP = new IntParameter(K_ID) // .setDefaultValue(0) // .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT); if(config.grab(kP)) { k = kP.intValue(); } }
@Override protected void makeOptions(Parameterization config) { super.makeOptions(config); IntParameter minptsP = new IntParameter(AbstractOPTICS.Parameterizer.MINPTS_ID) // .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT); if(config.grab(minptsP)) { minpts = minptsP.intValue(); } Class<RandomProjectedNeighborsAndDensities<V>> clz = ClassGenericsUtil.uglyCastIntoSubclass(RandomProjectedNeighborsAndDensities.class); index = config.tryInstantiate(clz); }