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📄 learn.java

📁 一个java程序编写的svm支持向量机小程序
💻 JAVA
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package edu.udo.cs.mySVMdb;import edu.udo.cs.mySVMdb.SVM.*;import edu.udo.cs.mySVMdb.Container.*;import edu.udo.cs.mySVMdb.Kernel.*;import java.util.Date;public class Learn{    /**     * Class for learning module     */    public static void disclaimer(){	System.out.println("*** mySVM/db version 0.9 ***");	System.out.println("*** This software is free only for non-commercial use. It must not be distributed without prior permission of the author. The author is not responsible for implications from the use of this software. ****");	System.out.println(" ");    };    public static void learn(String param_table)	throws Exception    {	String[] args = new String[1];	args[0] = param_table;	learn(args);    };    public static void learn(String[] args)	throws Exception    {	disclaimer();	System.out.println("Starting with paramters from "+args[0]);	JDBCDatabaseContainer the_container;	try{	    the_container = new OracleDatabaseContainer(args);	}	catch(Exception e){	    System.out.println("Error opening "+args[0]+".");	    throw e;	};	try{	    the_container.init_for_learning();	    // System.out.println(the_container.count_examples()+" examples read.");	    	    Kernel the_kernel = null;	    String the_type = the_container.get_param("kernel:type");	    if(the_type != null){		the_type = the_type.toLowerCase();	    };	    if(the_type == null){ 		the_kernel = new KernelDot(the_container);	    }	    else if(the_type.equals("dot")){		the_kernel = new KernelDot(the_container);	    }	    else if(the_type.equals("radial") || the_type.equals("rbf")){		the_kernel = new KernelRadial(the_container);	    }	    else{		throw(new Exception("Unknown kernel type: "+the_type));	    };	    // System.out.println(the_kernel.toString()+" kernel.");	    	    SVM the_svm = null;	    the_type = the_container.get_param("svm_type");	    if(the_type == null){		//System.out.println("Creating RSVM");		the_svm = new SVMregression();	    }	    else if(the_type.equals("pattern")){		//System.out.println("Creating PSVM");		the_svm = new SVMpattern();	    }	    else{		//System.out.println("Creating RSVM");		the_svm = new SVMregression();	    };	    	    //System.out.println("Initing SVM");	    the_svm.init(the_kernel,the_container);	    	    long time_all = System.currentTimeMillis();	    //System.out.println("Training SVM");	    the_svm.train();	    time_all = System.currentTimeMillis() - time_all;	    time_all /= 1000;	    // 	    long kernel_time = the_kernel.kernel_time / 1000;	    // 	    long kernel_time2 = the_kernel.kernel_time2 / 1000;	    // 	    long kernel_time3 = the_kernel.kernel_time3 / 1000;	    // 	    long kernel_time4 = the_kernel.kernel_time4 / 1000;	    // 	    System.out.println("Time kernel : "+kernel_time+"s");	    // 	    System.out.println("Time kernel : "+kernel_time2+"s");	    // 	    System.out.println("Time kernel : "+kernel_time3+"s");	    // 	    System.out.println("Time kernel : "+kernel_time4+"s");	    System.out.println("Time train : "+time_all+"s");	    //	System.out.println("Closing container");	    the_container.write_model();	    the_container.close();	}	catch(Exception e){	    the_container.close();	    throw e;	};	System.out.println("Done.");    };    public static void main(String[] args)	throws Exception    {	learn(args);    };};

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