| Class | Description |
|---|---|
| CanopyMapTask |
Map task for building partial canopies
|
| CanopyMapTask.ECanopy |
Subclass of Canopy that gives us access to the distance function
|
| CanopyReduceTask |
Reduce task for building a canopy clusterer
|
| CorrelationMatrixMapTask |
A map task that computes partial covariance sums for a covariance/correlation
matrix from the data it gets via its processInstance() method.
|
| CorrelationMatrixRowReduceTask |
A reduce task that sums the incoming partial covariance sums for a given row
of the matrix and then computes the final correlation/ covariance values.
|
| CSVToARFFHeaderMapTask |
A map task that processes incoming lines in CSV format and builds up header
information.
|
| CSVToARFFHeaderMapTask.HeaderAndQuantileDataHolder |
Container class for a Instances header with basic summary stats and a map
of TDigest quantile estimators for numeric attributes
|
| CSVToARFFHeaderMapTaskBeanInfo |
BeanInfo class for the CSVToARFFHeaderMapTask
|
| CSVToARFFHeaderReduceTask |
Reduce task for ARFF header and summary attribute creation.
|
| KMeansMapTask |
Map task for k-means clustering.
|
| KMeansMapTaskBeanInfo |
BeanInfo class for the KMeansMapTask
|
| KMeansReduceTask |
Reduce task for k-means clustering.
|
| WekaClassifierEvaluationMapTask |
Map task for evaluating a trained classifier.
|
| WekaClassifierEvaluationReduceTask |
Reduce task for aggregating Evaluation objects
|
| WekaClassifierMapTask |
A map task for building classifiers.
|
| WekaClassifierMapTaskBeanInfo |
BeanInfo class for the WekaClassifierMapTask
|
| WekaClassifierReduceTask |
Reduce task for aggregating classifiers into one final model, if they all
directly implement Aggregateable, or into a voted ensemble otherwise
|
| WekaScoringMapTask |
Map task for scoring data using a model that has been previously learned.
|
| Exception | Description |
|---|---|
| DistributedWekaException |
Exception class for use when errors arise in distributed applications
|