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📄 catgraph.java

📁 Decision Tree 决策树算法ID3 数据挖掘 分类
💻 JAVA
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package id3;
import java.io.*;
import java.util.*;
import shared.*;
import shared.Error;

/** CatGraph is a directed graph whose nodes have references to Categorizers.
 * Edges are labelled with the category number they match. The CatGraph can be
 * either complete or sparse. This is decided at the time of creation and
 * cannot be changed thereafter.								<P>
 *
 * For complete graphs:									<P>
 * Each node's first edge must be labelled either UNKNOWN_CATEGORY_VAL or
 * FIRST_CATEGORY_VAL. Each additional edge must be labelled with the next
 * category in ascending order.								<P>
 *
 * For sparse graphs:									<P>
 * A node may have zero or more children. Detection of a child can be done
 * using the get_child_if_exists() function, which returns a reference to the
 * child node if it exists, and otherwise returns a NULL reference.            <P>
 *
 * @author James Louis	2/25/2001	Ported to Java.
 * @author Jay DeSouza	8/13/97	Added handling for sparse graphs
 * @author Richard Long	8/20/93	Initial revision (.c)
 * @author Richard Long	8/19/93	Initial revision (.h)
 */
public class CatGraph {
    /** The CGraph object containing the graph used for this CatGraph.
     */
    protected CGraph cGraph;
    /** TRUE if the graph is allocated, FALSE if the graph is set to NULL.
     */
    boolean graphAlloc;
    /** TRUE if the graph is sparsely generated.
     */
    boolean isSparse;
    /** Logging options for this class.
     */
    protected LogOptions logOptions = new LogOptions();
    /** Distribution display help string.
     */
    protected String distDispHelp = "This option specifies whether to display the "+
    "distribution of instances of the nodes in the graph while displaying. ";
    /** The default value for distribution display. The default is FALSE.
     */
    protected boolean defaultDistDisp = false;
    
    
    /** Sets the logging level for this object.
     * @param level	The new logging level.
     */
    public void set_log_level(int level){logOptions.set_log_level(level);}
    
    /** Returns the logging level for this object.
     * @return The logging level for this object.
     */
    public int  get_log_level(){return logOptions.get_log_level();}
    
    /** Sets the stream to which logging options are displayed.
     * @param strm	The stream to which logs will be written.
     */
    public void set_log_stream(Writer strm)
    {logOptions.set_log_stream(strm);}
    
    /** Returns the stream to which logs for this object are written.
     * @return The stream to which logs for this object are written.
     */
    public Writer get_log_stream(){return logOptions.get_log_stream();}
    
    /** Returns the LogOptions object for this object.
     * @return The LogOptions object for this object.
     */
    public LogOptions get_log_options(){return logOptions;}
    
    /** Sets the LogOptions object for this object.
     * @param opt	The new LogOptions object.
     */
    public void set_log_options(LogOptions opt)
    {logOptions.set_log_options(opt);}
    
    /** Sets the logging message prefix for this object.
     * @param file	The file name to be displayed in the prefix of log messages.
     * @param line	The line number to be displayed in the prefix of log messages.
     * @param lvl1 The log level of the statement being logged.
     * @param lvl2	The level of log messages being displayed.
     */
    public void set_log_prefixes(String file, int line,int lvl1, int lvl2)
    {logOptions.set_log_prefixes(file, line, lvl1, lvl2);}
    
    /** Constructor.
     * @param isGraphSparse	TRUE if this CatGraph is sparsely populated. FALSE
     * otherwise.
     */
    public CatGraph(boolean isGraphSparse) {
        cGraph = new CGraph();
        isSparse = isGraphSparse;
        graphAlloc = true;
        logOptions = new LogOptions();
        logOptions.LOG(3, "CatGraph::CatGraph(Bool isGraphSparse): isSparse = "
        + isSparse + " is_sparse() = " + is_sparse() + '\n');
    }
    
    /** Constructor.
     * @param aGraph		CGraph on which all operations will take place. It
     * should remain unchanged while a part of this
     * CatGraph object.
     * @param isGraphSparse	TRUE if this CatGraph is sparsely populated. FALSE
     * otherwise.
     */
    public CatGraph(CGraph aGraph, boolean isGraphSparse) {
        cGraph = aGraph;
        isSparse = isGraphSparse;
        graphAlloc = false;
        logOptions = new LogOptions();
        logOptions.LOG(6, "CatGraph::CatGraph(CGraph, Bool): isSparse = "
        + isSparse + " is_sparse() = " + is_sparse() + '\n');
    }
    
    /** Checks if this CatGraph is sparsely populated.
     * @return TRUE if this CatGraph is sparsely populated.
     */
    public boolean is_sparse() {
        return isSparse;
    }
    
    /** Returns the number of Nodes in this CatGraph.
     * @return The number of Nodes in this CatGraph.
     */
    public int num_nodes() {
        return cGraph.number_of_nodes();
    }
    
    /** Returns the number of leaves in this CatGraph.
     * @return The number of leaves in this CatGraph.
     */
    public int num_leaves() {
        return cGraph.num_leaves();
    }
    
    /** Returns the CGraph stored in this CatGraph object.
     * @return The CGraph stored in this CatGraph object.
     */
    public CGraph get_graph() {
        return cGraph;
    }
    
    /** Returns the number of attributes stored in this CatGraph.
     * @return The number of attributes stored in this CatGraph.
     * @param maxAttr	The maximum number of attributes stored in the CatGraph.
     */
    public int num_attr(int maxAttr) {
        return cGraph.num_attr(logOptions.get_log_options() , maxAttr);
    }
    
    /** Creates a new Node.
     * @return The new Node.
     * @param cat		The Categorizer to be stored in the new Node.
     * @param level The level for the new node placement.
     */
    public Node create_node(NodeCategorizer[] cat, int level) {
        NodeInfo nodeInfo = cGraph.get_prototype() .create_my_type(level);
        nodeInfo.set_categorizer(cat);
        MLJ.ASSERT(cat[0] == null, "CatGraph::create_node: cat != NULL");
        return cGraph.new_node(nodeInfo);
    }
    
    /** Creates a directed Edge from Node "from" to Node "to". Assigns the Edge
     * the value "edgeLabel" and gets ownership of the AugCategory.             <P>
     * For non-sparse graphs:                                                 <BR>
     * The category given must be the category following the category for
     * the previous Edge.                                                       <BR>
     * The first Edge must have label UNKNOWN_CATEGORY_VAL or
     * FIRST_CATEGORY_VAL.
     *
     * @param from		The Node that is the source of the directed Edge.
     * @param to		The Node that is the destination of the directed Edge.
     * @param edgeLabel	The category to be assigned to the new Edge.
     */
    public void connect(Node from,Node to,
    AugCategory edgeLabel) {
        // grab these values in advance.  Makes debugging easier too.
        NodeInfo fromInfo =(NodeInfo) get_graph() .entry(from);
        NodeInfo toInfo =(NodeInfo) get_graph() .entry(to);
        NodeCategorizer fromCat = fromInfo.get_categorizer();
        NodeCategorizer toCat = toInfo.get_categorizer();
        
        if (!fromCat.in_graph())
            Error.fatalErr("CatGraph::connect: the \'from\' node "
            +fromCat.description()
            + " is not in the graph");
        if (!toCat.in_graph())
            Error.fatalErr("CatGraph::connect: the \'to\' node "
            +toCat.description()
            + " is not in the graph");
        logOptions.LOG(8, "CatGraph::connect: isSparse = " +isSparse
        + " is_sparse() = " +is_sparse()
        + " !is_sparse() = " +!is_sparse() + '\n');
        if (!is_sparse()) {
            if (from.outdeg() == 0 && edgeLabel.num() != Globals.FIRST_CATEGORY_VAL &&
            edgeLabel.num() != Globals.UNKNOWN_CATEGORY_VAL)
                Error.fatalErr("CatGraph::connect: The first edge must have label "
                +Globals.FIRST_CATEGORY_VAL+ " or "
                +Globals.UNKNOWN_CATEGORY_VAL+ ".  Given label was " +edgeLabel.num());
            if (from.outdeg() != 0 &&
            edgeLabel.num() != ((AugCategory) cGraph.inf(from.last_adj_edge())) .num() + 1)
                Error.fatalErr("CatGraph::connect: Edge label "
                + ((AugCategory) cGraph.inf(from.last_adj_edge())) .num() + 1
                + " must follow edge label "
                + ((AugCategory) cGraph.inf(from.last_adj_edge())) .num()
                + "; got edge label " + edgeLabel.num());
        }
        for(Edge edgePtr = from.First_Adj_Edge(0) ; edgePtr != null ; edgePtr = edgePtr.Succ_Adj_Edge(from))
            if ((cGraph.inf(edgePtr)) == edgeLabel) {
                Error.err("CatGraph::connect: Attempting to add a duplicate edge: "
                +edgeLabel
                + ".  Edge " + (cGraph.inf(edgePtr)) + " already exists. ");
            }
        cGraph.new_edge(from, to, edgeLabel);
        edgeLabel = null;
    }
    
    /** Returns the number of children the specified Node has.
     * @return The number of children the specified Node has.
     * @param parent	The specified Node.
     */
    public int num_children(Node parent) {
        return parent.outdeg();
    }
    
    /** Returns the NodeCategorizer stored in the specified Node.
     * @return The NodeCategorizer stored in the specified Node.
     * @param nodePtr The Node containing the NodeCategorizer.
     */
    public NodeCategorizer get_categorizer(Node nodePtr) {
        return((NodeInfo) cGraph.inf(nodePtr)) .get_categorizer();
    }
    
    /** Checks if specified Node is in this NatGraph object.
     * @return TRUE if the Node is a node that is in the CatGraph. Otherwise,
     * returns FALSE.
     * @param node			The Node to be looked for.
     * @param fatalOnFalse	TRUE if an error message should be displayed if the
     * specified Node is not in the CatGraph, FALSE
     * otherwise.
     */
    public boolean check_node_in_graph(Node node,
    boolean fatalOnFalse) {

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