- getCapabilities() - Method in class weka.classifiers.trees.ADTree
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.LADTree
-
Returns default capabilities of the classifier.
- getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.Splitter
-
Gets the child for a branch of the split.
- getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
-
Gets the child for a branch of the split.
- getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
-
Gets the child for a branch of the split.
- getChildren() - Method in class weka.classifiers.trees.adtree.PredictionNode
-
Gets the children of this node.
- getMeasure(String) - Method in class weka.classifiers.trees.ADTree
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.classifiers.trees.LADTree
-
Returns the value of the named measure.
- getNumOfBoostingIterations() - Method in class weka.classifiers.trees.ADTree
-
Gets the number of boosting iterations.
- getNumOfBoostingIterations() - Method in class weka.classifiers.trees.LADTree
-
Gets the number of boosting iterations.
- getNumOfBranches() - Method in class weka.classifiers.trees.adtree.Splitter
-
Gets the number of branches of the split.
- getNumOfBranches() - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
-
Gets the number of branches of the split.
- getNumOfBranches() - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
-
Gets the number of branches of the split.
- getOptions() - Method in class weka.classifiers.trees.ADTree
-
Gets the current settings of ADTree.
- getOptions() - Method in class weka.classifiers.trees.LADTree
-
Gets the current settings of ADTree.
- getRevision() - Method in class weka.classifiers.trees.ADTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.adtree.PredictionNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.adtree.ReferenceInstances
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.LADTree
-
Returns the revision string.
- getSaveInstanceData() - Method in class weka.classifiers.trees.ADTree
-
Gets whether the tree is to save instance data.
- getSearchPath() - Method in class weka.classifiers.trees.ADTree
-
Gets the method of searching the tree for a new insertion.
- getTechnicalInformation() - Method in class weka.classifiers.trees.ADTree
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.LADTree
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getValue() - Method in class weka.classifiers.trees.adtree.PredictionNode
-
Gets the prediction value of the node.
- globalInfo() - Method in class weka.classifiers.trees.ADTree
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.LADTree
-
Returns a string describing classifier
- graph() - Method in class weka.classifiers.trees.ADTree
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.LADTree
-
Returns graph describing the tree.
- graphType() - Method in class weka.classifiers.trees.ADTree
-
Returns the type of graph this classifier
represents.
- graphType() - Method in class weka.classifiers.trees.LADTree
-
Returns the type of graph this classifier
represents.
- main(String[]) - Static method in class weka.classifiers.trees.ADTree
-
Main method for testing this class.
- main(String[]) - Static method in class weka.classifiers.trees.LADTree
-
Main method for testing this class.
- measureExamplesCounted() - Method in class weka.classifiers.trees.LADTree
-
Returns the number of examples "counted".
- measureExamplesProcessed() - Method in class weka.classifiers.trees.ADTree
-
Returns the number of examples "counted".
- measureNodesExpanded() - Method in class weka.classifiers.trees.ADTree
-
Returns the number of nodes expanded.
- measureNodesExpanded() - Method in class weka.classifiers.trees.LADTree
-
Returns the number of nodes expanded.
- measureNumLeaves() - Method in class weka.classifiers.trees.ADTree
-
Calls measure function for leaf size - the number of prediction nodes.
- measureNumLeaves() - Method in class weka.classifiers.trees.LADTree
-
Calls measure function for leaf size.
- measureNumPredictionLeaves() - Method in class weka.classifiers.trees.ADTree
-
Calls measure function for prediction leaf size - the number of
prediction nodes without children.
- measureNumPredictionLeaves() - Method in class weka.classifiers.trees.LADTree
-
Calls measure function for leaf size.
- measureTreeSize() - Method in class weka.classifiers.trees.ADTree
-
Calls measure function for tree size - the total number of nodes.
- measureTreeSize() - Method in class weka.classifiers.trees.LADTree
-
Calls measure function for tree size.
- merge(ADTree) - Method in class weka.classifiers.trees.ADTree
-
Merges two trees together.
- merge(PredictionNode, ADTree) - Method in class weka.classifiers.trees.adtree.PredictionNode
-
Merges this node with another.
- merge(LADTree) - Method in class weka.classifiers.trees.LADTree
-
Merges two trees together.
- saveInstanceDataTipText() - Method in class weka.classifiers.trees.ADTree
-
- SEARCHPATH_ALL - Static variable in class weka.classifiers.trees.ADTree
-
search mode: Expand all paths
- SEARCHPATH_HEAVIEST - Static variable in class weka.classifiers.trees.ADTree
-
search mode: Expand the heaviest path
- SEARCHPATH_RANDOM - Static variable in class weka.classifiers.trees.ADTree
-
search mode: Expand a random path
- SEARCHPATH_ZPURE - Static variable in class weka.classifiers.trees.ADTree
-
search mode: Expand the best z-pure path
- searchPathTipText() - Method in class weka.classifiers.trees.ADTree
-
- setChildForBranch(int, PredictionNode) - Method in class weka.classifiers.trees.adtree.Splitter
-
Sets the child for a branch of the split.
- setChildForBranch(int, PredictionNode) - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
-
Sets the child for a branch of the split.
- setChildForBranch(int, PredictionNode) - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
-
Sets the child for a branch of the split.
- setNumOfBoostingIterations(int) - Method in class weka.classifiers.trees.ADTree
-
Sets the number of boosting iterations.
- setNumOfBoostingIterations(int) - Method in class weka.classifiers.trees.LADTree
-
Sets the number of boosting iterations.
- setOptions(String[]) - Method in class weka.classifiers.trees.ADTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.LADTree
-
Parses a given list of options.
- setSaveInstanceData(boolean) - Method in class weka.classifiers.trees.ADTree
-
Sets whether the tree is to save instance data.
- setSearchPath(SelectedTag) - Method in class weka.classifiers.trees.ADTree
-
Sets the method of searching the tree for a new insertion.
- setValue(double) - Method in class weka.classifiers.trees.adtree.PredictionNode
-
Sets the prediction value of the node.
- Splitter - Class in weka.classifiers.trees.adtree
-
Abstract class representing a splitter node in an alternating tree.
- Splitter() - Constructor for class weka.classifiers.trees.adtree.Splitter
-