Examples of de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress.ensureCompleted()

Package de.lmu.ifi.dbs.elki.logging.progress

Class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

Examples of de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress.ensureCompleted()

de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress.ensureCompleted()
Ensure that the progress was completed, to make progress bars disappear @param logger Logger to report to.

      if(progress != null) {
        progress.incrementProcessed(logger);
      }
    }
    if(progress != null) {
      progress.ensureCompleted(logger);
    }


    // build hierarchy
    final Clustering<DendrogramModel<D>> dendrogram = new Clustering<DendrogramModel<D>>("Single-Link-Dendrogram", "slink-dendrogram");
    ModifiableHierarchy<Cluster<DendrogramModel<D>>> hier = new HierarchyHashmapList<Cluster<DendrogramModel<D>>>();

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      if(progress != null) {
        progress.incrementProcessed(logger);
      }
    }
    if(progress != null) {
      progress.ensureCompleted(logger);
    }
    // There should be one cluster remaining at infinite distance...
    if(clusters.size() != 1) {
      logger.warning("Single-link is expected to have a single cluster at the top level!");
      return null;

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        }
      }
    }
    // Finish progress logging
    if(objprog != null && clusprog != null) {
      objprog.ensureCompleted(logger);
      clusprog.setCompleted(logger);
    }


    Clustering<Model> result = new Clustering<Model>("Shared-Nearest-Neighbor Clustering", "snn-clustering");
    for(Iterator<ModifiableDBIDs> resultListIter = resultList.iterator(); resultListIter.hasNext();) {

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      objprog.setProcessed(processedIDs.size(), getLogger());
      clusprog.setProcessed(resultList.size(), getLogger());
    }
    // Signal that the progress has completed.
    if(objprog != null && clusprog != null) {
      objprog.ensureCompleted(getLogger());
      clusprog.setCompleted(getLogger());
    }
    return result;
  }

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      if(progressKNNDistance != null) {
        progressKNNDistance.incrementProcessed(logger);
      }
    }
    if(progressKNNDistance != null) {
      progressKNNDistance.ensureCompleted(logger);
    }
    Relation<Double> scoreres = new MaterializedRelation<Double>("kNN Outlier Score", "knn-outlier", TypeUtil.DOUBLE, knno_score, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0.0);
    return new OutlierResult(meta, scoreres);
  }

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      if(progressLDOFs != null) {
        progressLDOFs.incrementProcessed(logger);
      }
    }
    if(progressLDOFs != null) {
      progressLDOFs.ensureCompleted(logger);
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("LDOF Outlier Score", "ldof-outlier", TypeUtil.DOUBLE, ldofs, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(ldofminmax.getMin(), ldofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, LDOF_BASELINE);

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      if(lrdsProgress != null) {
        lrdsProgress.incrementProcessed(logger);
      }
    }
    if(lrdsProgress != null) {
      lrdsProgress.ensureCompleted(logger);
    }
    return lrds;
  }


  /**

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      if(progressLOFs != null) {
        progressLOFs.incrementProcessed(logger);
      }
    }
    if(progressLOFs != null) {
      progressLOFs.ensureCompleted(logger);
    }
    return new Pair<WritableDoubleDataStore, DoubleMinMax>(lofs, lofminmax);
  }


  @Override

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      SODModel<V> model = new SODModel<V>(relation, knnList, alpha, relation.get(queryObject));
      sod_models.put(queryObject, model);
      minmax.put(model.getSod());
    }
    if(progress != null) {
      progress.ensureCompleted(logger);
    }
    // combine results.
    Relation<SODModel<?>> models = new MaterializedRelation<SODModel<?>>("Subspace Outlier Model", "sod-outlier", new SimpleTypeInformation<SODModel<?>>(SODModel.class), sod_models, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());
    OutlierResult sodResult = new OutlierResult(meta, new SODProxyScoreResult(models, relation.getDBIDs()));

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      if(progressKNNWeight != null) {
        progressKNNWeight.incrementProcessed(logger);
      }
    }
    if(progressKNNWeight != null) {
      progressKNNWeight.ensureCompleted(logger);
    }


    Relation<Double> res = new MaterializedRelation<Double>("Weighted kNN Outlier Score", "knnw-outlier", TypeUtil.DOUBLE, knnw_score, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0.0);
    return new OutlierResult(meta, res);

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