Uses of Class
adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor
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Packages that use AbstractClustererPostProcessor Package Description adams.flow.transformer adams.flow.transformer.wekaclusterer -
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Uses of AbstractClustererPostProcessor in adams.flow.transformer
Fields in adams.flow.transformer declared as AbstractClustererPostProcessor Modifier and Type Field Description protected AbstractClustererPostProcessor
WekaClustererPostProcessor. m_PostProcessor
the post-processor.protected AbstractClustererPostProcessor
WekaTrainClusterer.BatchTrainJob. m_PostProcessor
the postprocessor.protected AbstractClustererPostProcessor
WekaTrainClusterer. m_PostProcessor
the post-processor.Methods in adams.flow.transformer that return AbstractClustererPostProcessor Modifier and Type Method Description AbstractClustererPostProcessor
WekaClustererPostProcessor. getPostProcessor()
Returns the post-processor in use.AbstractClustererPostProcessor
WekaTrainClusterer. getPostProcessor()
Returns the post-processor in use.Methods in adams.flow.transformer with parameters of type AbstractClustererPostProcessor Modifier and Type Method Description void
WekaClustererPostProcessor. setPostProcessor(AbstractClustererPostProcessor value)
Sets the post-processor to use.void
WekaTrainClusterer. setPostProcessor(AbstractClustererPostProcessor value)
Sets the post-processor to use.Constructors in adams.flow.transformer with parameters of type AbstractClustererPostProcessor Constructor Description BatchTrainJob(weka.clusterers.Clusterer cls, weka.core.Instances data, AbstractClustererPostProcessor postProcessor)
Initializes the job. -
Uses of AbstractClustererPostProcessor in adams.flow.transformer.wekaclusterer
Subclasses of AbstractClustererPostProcessor in adams.flow.transformer.wekaclusterer Modifier and Type Class Description class
AbstractClusterMembershipPostProcessor
Ancestor for post-processors that require a built clusterer and the dataset that was used to build the clusterer to be present in the model container.class
AddCluster
Just adds the predicted cluster (or distribution) to the original dataset.
Stored in container under: Clustered dataset
class
AverageSilhouetteCoefficient
Computes the average Silhouette coefficient for the clusters.class
ClusterCenters
Computes the cluster centers for the provided dataset.class
ClusterCounts
Creates an overview of how many instances get clustered into each cluster.
Stored in container under: Clustered dataset
class
ClusterStatistics
Computes cluster statistics (min/max/mean/stdev) for the provided dataset.class
MultiClustererPostProcessor
Applies the specified post-processors sequentially.class
PassThrough
Dummy post-processor that just returns the model container as it is.Fields in adams.flow.transformer.wekaclusterer declared as AbstractClustererPostProcessor Modifier and Type Field Description protected AbstractClustererPostProcessor[]
MultiClustererPostProcessor. m_PostProcessors
the post-processors to apply.Methods in adams.flow.transformer.wekaclusterer that return AbstractClustererPostProcessor Modifier and Type Method Description AbstractClustererPostProcessor[]
MultiClustererPostProcessor. getPostProcessors()
Returns the distance function to use.Methods in adams.flow.transformer.wekaclusterer with parameters of type AbstractClustererPostProcessor Modifier and Type Method Description void
MultiClustererPostProcessor. setPostProcessors(AbstractClustererPostProcessor[] value)
Sets the distance function to use.
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