Examples of addChildResult()

Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    }
    // build representation
    Relation<Double> scoreResult = new MaterializedRelation<Double>("SPO", "Scatterplot-Outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

  @Override
  protected Logging getLogger() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Spatial Outlier Factor", "sof-outlier", TypeUtil.DOUBLE, lofs, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(lofminmax.getMin(), lofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 1.0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

  @Override
  public TypeInformation[] getInputTypeRestriction() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("MoranOutlier", "Moran Scatterplot Outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

  @Override
  public TypeInformation[] getInputTypeRestriction() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    }
    //
    Relation<Double> scoreResult = new MaterializedRelation<Double>("TrimmedMean", "Trimmed Mean Score", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

  @Override
  protected Logging getLogger() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    // Wrap result
    Relation<Double> scoreResult = new MaterializedRelation<Double>("ZTest", "Z Test score", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

  @Override
  protected Logging getLogger() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    }

    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), scaling.getMin(), scaling.getMax());
    Relation<Double> scoresult = new MaterializedRelation<Double>("Scaled Outlier", "scaled-outlier", TypeUtil.DOUBLE, scaledscores, scores.getDBIDs());
    OutlierResult result = new OutlierResult(meta, scoresult);
    result.addChildResult(innerresult);

    return result;
  }

  /**
 
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    // 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()));
    // also add the models.
    sodResult.addChildResult(models);
    return sodResult;
  }

  /**
   * Provides the k nearest neighbors in terms of the shared nearest neighbor
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    Relation<Double> scoreres = new MaterializedRelation<Double>("EM outlier scores", "em-outlier", TypeUtil.DOUBLE, emo_score, relation.getDBIDs());
    OutlierScoreMeta meta = new ProbabilisticOutlierScore(0.0, globmax);
    // combine results.
    OutlierResult result = new OutlierResult(meta, scoreres);
    // TODO: add a keep-EM flag?
    result.addChildResult(emresult);
    return result;
  }

  @Override
  public TypeInformation[] getInputTypeRestriction() {
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    ReferencePointsResult<V> refp = new ReferencePointsResult<V>("Reference points", "reference-points", refPoints);

    Relation<Double> scoreResult = new MaterializedRelation<Double>("Reference-points Outlier Scores", "reference-outlier", TypeUtil.DOUBLE, rbod_score, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(0.0, 1.0, 0.0, 1.0, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(refp);
    return result;
  }

  /**
   * Computes for each object the distance to one reference point. (one
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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult.addChildResult()

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    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("LOCI normalized MDEF", "loci-mdef-outlier", TypeUtil.DOUBLE, mdef_norm, relation.getDBIDs());
    // TODO: actually provide min and max?
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(Double.NaN, Double.NaN, 0.0, Double.POSITIVE_INFINITY, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(new MaterializedRelation<Double>("LOCI MDEF Radius", "loci-critical-radius", TypeUtil.DOUBLE, mdef_radius, relation.getDBIDs()));
    return result;
  }

  @Override
  public TypeInformation[] getInputTypeRestriction() {
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