diff options
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java index d1c2e076..e4c3861f 100644 --- a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java +++ b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java @@ -65,12 +65,12 @@ public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> im /** * Class logger */ - private static final Logging logger = Logging.getLogger(TrivialGeneratedOutlier.class); + private static final Logging LOG = Logging.getLogger(TrivialGeneratedOutlier.class); /** * Expected share of outliers */ - public static final OptionID EXPECT_ID = OptionID.getOrCreateOptionID("modeloutlier.expect", "Expected amount of outliers, for making the scores more intuitive."); + public static final OptionID EXPECT_ID = new OptionID("modeloutlier.expect", "Expected amount of outliers, for making the scores more intuitive."); /** * Expected share of outliers. @@ -101,7 +101,7 @@ public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> im @Override public OutlierResult run(Database database) { - Relation<NumberVector<?, ?>> vecs = database.getRelation(TypeUtil.NUMBER_VECTOR_FIELD); + Relation<NumberVector<?>> vecs = database.getRelation(TypeUtil.NUMBER_VECTOR_FIELD); Relation<Model> models = database.getRelation(new SimpleTypeInformation<Model>(Model.class)); // Prefer a true class label try { @@ -122,7 +122,7 @@ public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> im * @param labels Label relation * @return Outlier result */ - public OutlierResult run(Relation<Model> models, Relation<NumberVector<?, ?>> vecs, Relation<?> labels) { + public OutlierResult run(Relation<Model> models, Relation<NumberVector<?>> vecs, Relation<?> labels) { WritableDoubleDataStore scores = DataStoreUtil.makeDoubleStorage(models.getDBIDs(), DataStoreFactory.HINT_HOT); // Adjustment constant @@ -136,7 +136,7 @@ public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> im } } if(generators.size() == 0) { - logger.warning("No generator models found for dataset - all points will be considered outliers."); + LOG.warning("No generator models found for dataset - all points will be considered outliers."); } for(DBIDIter iditer = models.iterDBIDs(); iditer.valid(); iditer.advance()) { @@ -179,7 +179,7 @@ public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> im @Override protected Logging getLogger() { - return logger; + return LOG; } /** |