Uses of Class
adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.AbstractClustererEvaluation

Packages that use AbstractClustererEvaluation

Package	Description
adams.gui.tools.wekainvestigator.tab
adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Uses of AbstractClustererEvaluation in adams.gui.tools.wekainvestigator.tab

Fields in adams.gui.tools.wekainvestigator.tab declared as AbstractClustererEvaluation

Modifier and Type	Field	Description
protected AbstractClustererEvaluation	ClusterTab.m_CurrentEvaluation	the current evaluation.

Fields in adams.gui.tools.wekainvestigator.tab with type parameters of type AbstractClustererEvaluation

Modifier and Type	Field	Description
protected BaseComboBox<AbstractClustererEvaluation>	ClusterTab.m_ComboBoxEvaluations	the combobox with the available evaluations.
protected DefaultComboBoxModel<AbstractClustererEvaluation>	ClusterTab.m_ModelEvaluations	the model with the available evaluations.

Uses of AbstractClustererEvaluation in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Subclasses of AbstractClustererEvaluation in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Modifier and Type	Class	Description
class	BuildModel	Builds a model and serializes it to a file.
class	ClassesToClusters	Tries to map the clusters of the built clusterer to the class labels in the dataset.
class	CrossValidation	Performs cross-validation.
class	ReevaluateModel	Re-evaluates a serialized model.
class	TrainTestSet	Uses dedicated train/test sets.
class	TrainTestSplit	Uses a (random) percentage split to generate train/test.