|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--weka.classifiers.trees.j48.ClassifierTree
Class for handling a tree structure used for classification.
Field Summary |
Fields inherited from interface weka.core.Drawable |
BayesNet, NOT_DRAWABLE, TREE |
Constructor Summary | |
ClassifierTree(ModelSelection toSelectLocModel)
Constructor. |
Method Summary | |
int |
assignIDs(int lastID)
Assigns a uniqe id to every node in the tree. |
void |
buildClassifier(Instances data)
Method for building a classifier tree. |
void |
buildTree(Instances data,
boolean keepData)
Builds the tree structure. |
void |
buildTree(Instances train,
Instances test,
boolean keepData)
Builds the tree structure with hold out set |
double |
classifyInstance(Instance instance)
Classifies an instance. |
void |
cleanup(Instances justHeaderInfo)
Cleanup in order to save memory. |
double[] |
distributionForInstance(Instance instance,
boolean useLaplace)
Returns class probabilities for a weighted instance. |
java.lang.String |
graph()
Returns graph describing the tree. |
int |
graphType()
Returns the type of graph this classifier represents. |
int |
numLeaves()
Returns number of leaves in tree structure. |
int |
numNodes()
Returns number of nodes in tree structure. |
java.lang.String |
prefix()
Returns tree in prefix order. |
java.lang.StringBuffer[] |
toSource(java.lang.String className)
Returns source code for the tree as an if-then statement. |
java.lang.String |
toString()
Prints tree structure. |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
public ClassifierTree(ModelSelection toSelectLocModel)
Method Detail |
public void buildClassifier(Instances data) throws java.lang.Exception
java.lang.Exception
- if something goes wrongpublic void buildTree(Instances data, boolean keepData) throws java.lang.Exception
data
- the data for which the tree structure is to be
generated.keepData
- is training data to be kept?
java.lang.Exception
- if something goes wrongpublic void buildTree(Instances train, Instances test, boolean keepData) throws java.lang.Exception
train
- the data for which the tree structure is to be
generated.test
- the test data for potential pruningkeepData
- is training Data to be kept?
java.lang.Exception
- if something goes wrongpublic double classifyInstance(Instance instance) throws java.lang.Exception
java.lang.Exception
- if something goes wrongpublic final void cleanup(Instances justHeaderInfo)
public final double[] distributionForInstance(Instance instance, boolean useLaplace) throws java.lang.Exception
java.lang.Exception
- if something goes wrongpublic int assignIDs(int lastID)
public int graphType()
graphType
in interface Drawable
public java.lang.String graph() throws java.lang.Exception
graph
in interface Drawable
java.lang.Exception
- if something goes wrongpublic java.lang.String prefix() throws java.lang.Exception
java.lang.Exception
- if something goes wrongpublic java.lang.StringBuffer[] toSource(java.lang.String className) throws java.lang.Exception
className
- the classname that this static classifier has
java.lang.Exception
- if something goes wrongpublic int numLeaves()
public int numNodes()
public java.lang.String toString()
toString
in class java.lang.Object
|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London