Uses of Interface
weka.core.Drawable

Packages that use Drawable

Package	Description
weka.classifiers.bayes
weka.classifiers.bayes.net
weka.classifiers.meta
weka.classifiers.misc
weka.classifiers.pmml.consumer
weka.classifiers.trees
weka.classifiers.trees.j48
weka.clusterers

Uses of Drawable in weka.classifiers.bayes

Classes in weka.classifiers.bayes that implement Drawable

Modifier and Type	Class	Description
class	BayesNet	Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier.

Uses of Drawable in weka.classifiers.bayes.net

Classes in weka.classifiers.bayes.net that implement Drawable

Modifier and Type	Class	Description
class	BayesNetGenerator	Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier.
class	BIFReader	Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format. For more details on XML BIF see: Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998).
class	EditableBayesNet	Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier.

Uses of Drawable in weka.classifiers.meta

Classes in weka.classifiers.meta that implement Drawable

Modifier and Type	Class	Description
class	AttributeSelectedClassifier	Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
class	CostSensitiveClassifier	A metaclassifier that makes its base classifier cost sensitive.
class	CVParameterSelection	Class for performing parameter selection by cross-validation for any classifier. For more information, see: R.
class	FilteredClassifier	Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
class	RandomizableFilteredClassifier	Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.

Uses of Drawable in weka.classifiers.misc

Classes in weka.classifiers.misc that implement Drawable

Modifier and Type	Class	Description
class	InputMappedClassifier	Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with and the incoming test instances' structure.

Uses of Drawable in weka.classifiers.pmml.consumer

Classes in weka.classifiers.pmml.consumer that implement Drawable

Modifier and Type	Class	Description
class	TreeModel	Class implementing import of PMML TreeModel.

Uses of Drawable in weka.classifiers.trees

Classes in weka.classifiers.trees that implement Drawable

Modifier and Type	Class	Description
class	HoeffdingTree	A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.
class	J48	Class for generating a pruned or unpruned C4.5 decision tree.
class	LMT	Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
class	M5P	M5Base.
class	RandomTree	Class for constructing a tree that considers K randomly chosen attributes at each node.
class	REPTree	Fast decision tree learner.

Uses of Drawable in weka.classifiers.trees.j48

Classes in weka.classifiers.trees.j48 that implement Drawable

Modifier and Type	Class	Description
class	C45PruneableClassifierTree	Class for handling a tree structure that can be pruned using C4.5 procedures.
class	ClassifierTree	Class for handling a tree structure used for classification.
class	NBTreeClassifierTree	Class for handling a naive bayes tree structure used for classification.
class	PruneableClassifierTree	Class for handling a tree structure that can be pruned using a pruning set.

Uses of Drawable in weka.clusterers

Classes in weka.clusterers that implement Drawable

Modifier and Type	Class	Description
class	Cobweb	Class implementing the Cobweb and Classit clustering algorithms. Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers.
class	FilteredClusterer	Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter.
class	HierarchicalClusterer	Hierarchical clustering class.