Package | Description |
---|---|
weka.classifiers.rules.part | |
weka.classifiers.trees.j48 | |
weka.classifiers.trees.lmt |
Constructor and Description |
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C45PruneableDecList(ModelSelection toSelectLocModel,
double cf,
int minNum)
Constructor for pruneable tree structure.
|
ClassifierDecList(ModelSelection toSelectLocModel,
int minNum)
Constructor - just calls constructor of class DecList.
|
MakeDecList(ModelSelection toSelectLocModel,
double cf,
int minNum)
Constructor for dec list pruned using C4.5 pruning.
|
MakeDecList(ModelSelection toSelectLocModel,
int minNum)
Constructor for unpruned dec list.
|
MakeDecList(ModelSelection toSelectLocModel,
int num,
int minNum,
int seed)
Constructor for dec list pruned using hold-out pruning.
|
PruneableDecList(ModelSelection toSelectLocModel,
int minNum)
Constructor for pruneable partial tree structure.
|
Modifier and Type | Class and Description |
---|---|
class |
BinC45ModelSelection
Class for selecting a C4.5-like binary (!) split for a given dataset.
|
class |
C45ModelSelection
Class for selecting a C4.5-type split for a given dataset.
|
class |
NBTreeModelSelection
Class for selecting a NB tree split.
|
Constructor and Description |
---|
C45PruneableClassifierTree(ModelSelection toSelectLocModel,
boolean pruneTree,
float cf,
boolean raiseTree,
boolean cleanup)
Constructor for pruneable tree structure.
|
C45PruneableClassifierTreeG(ModelSelection toSelectLocModel,
boolean pruneTree,
float cf,
boolean raiseTree,
boolean relabel,
boolean cleanup)
Constructor for pruneable tree structure.
|
C45PruneableClassifierTreeG(ModelSelection toSelectLocModel,
Instances data,
ClassifierSplitModel gs,
boolean prune,
float cf,
boolean raise,
boolean isLeaf,
boolean relabel,
boolean cleanup)
Constructor for pruneable tree structure.
|
ClassifierTree(ModelSelection toSelectLocModel)
Constructor.
|
NBTreeClassifierTree(ModelSelection toSelectLocModel) |
PruneableClassifierTree(ModelSelection toSelectLocModel,
boolean pruneTree,
int num,
boolean cleanup,
int seed)
Constructor for pruneable tree structure.
|
Modifier and Type | Class and Description |
---|---|
class |
ResidualModelSelection
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the
splitting criterion based on residuals.
|
Constructor and Description |
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LMTNode(ModelSelection modelSelection,
int numBoostingIterations,
boolean fastRegression,
boolean errorOnProbabilities,
int minNumInstances,
double weightTrimBeta,
boolean useAIC)
Constructor for logistic model tree node.
|
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