Uses of Interface
adams.multiprocess.JobRunnerSupporter

Packages that use JobRunnerSupporter

Package	Description
adams.flow.transformer

Uses of JobRunnerSupporter in adams.flow.transformer

Classes in adams.flow.transformer that implement JobRunnerSupporter

Modifier and Type	Class	Description
class	SpreadSheetFilter	Applies the specified spreadsheet filter to the data.
class	WekaFilter	Filters Instances/Instance objects using the specified filter. When re-using a trained filter, ensure that 'initializeOnce' is checked. The following order is used to obtain the model (when using AUTO): 1.
class	WekaTestSetEvaluator	Evaluates a trained classifier (obtained from input) on the dataset obtained from the callable actor.
class	WekaTrainAssociator	Trains an associator based on the incoming dataset and outputs the built associator alongside the training header and rules (in a model container)..
class	WekaTrainClassifier	Trains a classifier based on the incoming dataset and outputs the built classifier alongside the training header (in a model container). Incremental training is performed, if the input are weka.core.Instance objects and the classifier implements weka.classifiers.UpdateableClassifier.
class	WekaTrainClusterer	Trains a clusterer based on the incoming dataset and output the built clusterer alongside the training header (in a model container). Incremental training is performed, if the input are weka.core.Instance objects and the clusterer implements weka.clusterers.UpdateableClusterer.
class	WekaTrainTestSetEvaluator	Trains a classifier on an incoming training dataset (from a container) and then evaluates it on the test set (also from a container). The classifier setup being used in the evaluation is a callable 'Classifier' actor.