Java Doc for ClassifierTree.java in  » Science » weka » weka » classifiers » trees » j48 » Java Source Code / Java DocumentationJava Source Code and Java Documentation

Java Source Code / Java Documentation 1.  6.0 JDK Core 2.  6.0 JDK Modules 3.  6.0 JDK Modules com.sun 4.  6.0 JDK Modules com.sun.java 5.  6.0 JDK Modules sun 6.  6.0 JDK Platform 7.  Ajax 8.  Apache Harmony Java SE 9.  Aspect oriented 10.  Authentication Authorization 11.  Blogger System 12.  Build 13.  Byte Code 14.  Cache 15.  Chart 16.  Chat 17.  Code Analyzer 18.  Collaboration 19.  Content Management System 20.  Database Client 21.  Database DBMS 22.  Database JDBC Connection Pool 23.  Database ORM 24.  Development 25.  EJB Server geronimo 26.  EJB Server GlassFish 27.  EJB Server JBoss 4.2.1 28.  EJB Server resin 3.1.5 29.  ERP CRM Financial 30.  ESB 31.  Forum 32.  GIS 33.  Graphic Library 34.  Groupware 35.  HTML Parser 36.  IDE 37.  IDE Eclipse 38.  IDE Netbeans 39.  Installer 40.  Internationalization Localization 41.  Inversion of Control 42.  Issue Tracking 43.  J2EE 44.  JBoss 45.  JMS 46.  JMX 47.  Library 48.  Mail Clients 49.  Net 50.  Parser 51.  PDF 52.  Portal 53.  Profiler 54.  Project Management 55.  Report 56.  RSS RDF 57.  Rule Engine 58.  Science 59.  Scripting 60.  Search Engine 61.  Security 62.  Sevlet Container 63.  Source Control 64.  Swing Library 65.  Template Engine 66.  Test Coverage 67.  Testing 68.  UML 69.  Web Crawler 70.  Web Framework 71.  Web Mail 72.  Web Server 73.  Web Services 74.  Web Services apache cxf 2.0.1 75.  Web Services AXIS2 76.  Wiki Engine 77.  Workflow Engines 78.  XML 79.  XML UI Java Java Tutorial Java Open Source Jar File Download Java Articles Java Products Java by API Photoshop Tutorials Maya Tutorials Flash Tutorials 3ds-Max Tutorials Illustrator Tutorials GIMP Tutorials C# / C Sharp C# / CSharp Tutorial C# / CSharp Open Source ASP.Net ASP.NET Tutorial JavaScript DHTML JavaScript Tutorial JavaScript Reference HTML / CSS HTML CSS Reference C / ANSI-C C Tutorial C++ C++ Tutorial Ruby PHP Python Python Tutorial Python Open Source SQL Server / T-SQL SQL Server / T-SQL Tutorial Oracle PL / SQL Oracle PL/SQL Tutorial PostgreSQL SQL / MySQL MySQL Tutorial VB.Net VB.Net Tutorial Flash / Flex / ActionScript VBA / Excel / Access / Word XML XML Tutorial Microsoft Office PowerPoint 2007 Tutorial Microsoft Office Excel 2007 Tutorial Microsoft Office Word 2007 Tutorial

Java Source Code / Java Documentation » Science » weka » weka.classifiers.trees.j48   Source Cross Reference   Class Diagram   Java Document (Java Doc)   java.lang.Object    weka.classifiers.trees.j48.ClassifierTree All known Subclasses:   weka.classifiers.trees.j48.C45PruneableClassifierTree,  weka.classifiers.trees.j48.NBTreeClassifierTree,  weka.classifiers.trees.j48.PruneableClassifierTree, ClassifierTree public class ClassifierTree implements Drawable,Serializable,CapabilitiesHandler(Code) Class for handling a tree structure used for classification. author:    Eibe Frank (eibe@cs.waikato.ac.nz) version:    $Revision: 1.21 $ Field Summary protected  int m_id      The id for the node. protected  boolean m_isEmpty      True if node is empty. protected  boolean m_isLeaf      True if node is leaf. protected  ClassifierSplitModel m_localModel      Local model at node. protected  ClassifierTree[] m_sons      References to sons. protected  Distribution m_test      The pruning instances. protected  ModelSelection m_toSelectModel      The model selection method. protected  Instances m_train      The training instances. final static  long serialVersionUID      Constructor Summary public   ClassifierTree(ModelSelection toSelectLocModel)      Constructor. Method Summary public  int assignIDs(int lastID)      Assigns a uniqe id to every node in the tree. public  void buildClassifier(Instances data)      Method for building a classifier tree. public  void buildTree(Instances data, boolean keepData)      Builds the tree structure. public  void buildTree(Instances train, Instances test, boolean keepData)      public  double classifyInstance(Instance instance)      Classifies an instance. final public  void cleanup(Instances justHeaderInfo)      Cleanup in order to save memory. final public  double[] distributionForInstance(Instance instance, boolean useLaplace)      Returns class probabilities for a weighted instance. public  Capabilities getCapabilities()      Returns default capabilities of the classifier tree. protected  ClassifierTree getNewTree(Instances data)      Returns a newly created tree. protected  ClassifierTree getNewTree(Instances train, Instances test)      Returns a newly created tree. Parameters:   train - the training data Parameters:   test - the pruning data. public  String graph()      Returns graph describing the tree. public  int graphType()      Returns the type of graph this classifier represents. protected static  long nextID()      Gets the next unique node ID. public  int numLeaves()      Returns number of leaves in tree structure. public  int numNodes()      Returns number of nodes in tree structure. public  String prefix()      Returns tree in prefix order. protected static  void resetID()      Resets the unique node ID counter (e.g. public  StringBuffer[] toSource(String className)      Returns source code for the tree as an if-then statement. public  String toString()      Prints tree structure. Field Detail m_id protected int m_id(Code) The id for the node. m_isEmpty protected boolean m_isEmpty(Code) True if node is empty. m_isLeaf protected boolean m_isLeaf(Code) True if node is leaf. m_localModel protected ClassifierSplitModel m_localModel(Code) Local model at node. m_sons protected ClassifierTree[] m_sons(Code) References to sons. m_test protected Distribution m_test(Code) The pruning instances. m_toSelectModel protected ModelSelection m_toSelectModel(Code) The model selection method. m_train protected Instances m_train(Code) The training instances. serialVersionUID final static long serialVersionUID(Code) for serialization Constructor Detail ClassifierTree public ClassifierTree(ModelSelection toSelectLocModel)(Code) Constructor. Method Detail assignIDs public int assignIDs(int lastID)(Code) Assigns a uniqe id to every node in the tree. Parameters:   lastID - the last ID that was assign the new current ID buildClassifier public void buildClassifier(Instances data) throws Exception(Code) Method for building a classifier tree. Parameters:   data - the data to build the tree from throws:   Exception - if something goes wrong buildTree public void buildTree(Instances data, boolean keepData) throws Exception(Code) Builds the tree structure. Parameters:   data - the data for which the tree structure is to begenerated. Parameters:   keepData - is training data to be kept? throws:   Exception - if something goes wrong buildTree public void buildTree(Instances train, Instances test, boolean keepData) throws Exception(Code) Builds the tree structure with hold out set Parameters:   train - the data for which the tree structure is to begenerated. Parameters:   test - the test data for potential pruning Parameters:   keepData - is training Data to be kept? throws:   Exception - if something goes wrong classifyInstance public double classifyInstance(Instance instance) throws Exception(Code) Classifies an instance. Parameters:   instance - the instance to classify the classification throws:   Exception - if something goes wrong cleanup final public void cleanup(Instances justHeaderInfo)(Code) Cleanup in order to save memory. Parameters:   justHeaderInfo - distributionForInstance final public double[] distributionForInstance(Instance instance, boolean useLaplace) throws Exception(Code) Returns class probabilities for a weighted instance. Parameters:   instance - the instance to get the distribution for Parameters:   useLaplace - whether to use laplace or not the distribution throws:   Exception - if something goes wrong getCapabilities public Capabilities getCapabilities()(Code) Returns default capabilities of the classifier tree. the capabilities of this classifier tree getNewTree protected ClassifierTree getNewTree(Instances data) throws Exception(Code) Returns a newly created tree. Parameters:   data - the training data the generated tree throws:   Exception - if something goes wrong getNewTree protected ClassifierTree getNewTree(Instances train, Instances test) throws Exception(Code) Returns a newly created tree. Parameters:   train - the training data Parameters:   test - the pruning data. the generated tree throws:   Exception - if something goes wrong graph public String graph() throws Exception(Code) Returns graph describing the tree. throws:   Exception - if something goes wrong the tree as graph graphType public int graphType()(Code) Returns the type of graph this classifier represents. Drawable.TREE nextID protected static long nextID()(Code) Gets the next unique node ID. the next unique node ID. numLeaves public int numLeaves()(Code) Returns number of leaves in tree structure. the number of leaves numNodes public int numNodes()(Code) Returns number of nodes in tree structure. the number of nodes prefix public String prefix() throws Exception(Code) Returns tree in prefix order. throws:   Exception - if something goes wrong the prefix order resetID protected static void resetID()(Code) Resets the unique node ID counter (e.g. between repeated separate print types) toSource public StringBuffer[] toSource(String className) throws Exception(Code) Returns source code for the tree as an if-then statement. The class is assigned to variable "p", and assumes the tested instance is named "i". The results are returned as two stringbuffers: a section of code for assignment of the class, and a section of code containing support code (eg: other support methods). Parameters:   className - the classname that this static classifier has an array containing two stringbuffers, the first string containingassignment code, and the second containing source for support code. throws:   Exception - if something goes wrong toString public String toString()(Code) Prints tree structure. the tree structure Methods inherited from java.lang.Object native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc) public boolean equals(Object obj)(Code)(Java Doc) protected void finalize() throws Throwable(Code)(Java Doc) final native public Class getClass()(Code)(Java Doc) native public int hashCode()(Code)(Java Doc) final native public void notify()(Code)(Java Doc) final native public void notifyAll()(Code)(Java Doc) public String toString()(Code)(Java Doc) final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc) final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc) final public void wait() throws InterruptedException(Code)(Java Doc)