How do I use a genetic code table?

How do I use WEKA for the actual training and classification (Openshift) - music genre classification [CODE]?

• Hello, I am struggling to actually implement the classifying part of my investigations into the possibility of classifying music according to some features of music files. What I have currently produced is code that reads a table of features from the DB and then puts it back into the DB in another table. The problem ist that I do not know how to work with the instances type. Documentation is crap - I have no clue what to do. ========= What I want to do: I want to use a given set of music files and compute their feature vectors. After this data has been put into arff, I would manually join it with genre data (the gial i.e.). and then save it into a mysql table. AFAIU the chain should be like this: a) Read from DB b) somehow (?) train a K-nearest neighbor classifier on a set of the features (relted to genre)  per music file for a body of 10 files. c) use this to classify a set of files with the same features but unknow genre. d) somehow (?) output results so that they can be machine-readable in the DBase I have found no examples of the output of the data actually being used for furhter processing so I cannoct further haggle :/ == Code == After this has been done, I would like to read it back and conduct a classification on a new body of music (the features I have computed by musicg or useingf a sapmple file set). The results should be put back into the DB in yet another new table, detailing what file has which vetegory (assigned). Here is my code:     package org.tuhh.cpmgg.weka;         import weka.core.*;     import weka.core.converters.*;     import weka.experiment.InstanceQuery;         import http://java.io.*;     import java.util.ArrayList;         import http://javax.ws.rs.GET;     import http://javax.ws.rs.Path;     import http://javax.ws.rs.Produces;     import http://javax.ws.rs.core.MediaType;         @Path("/weka2")     public class weka_chain {           /**        * loads a dataset from mysql db        * @param args the commandline arguments        */         @GET         @Produces(MediaType.TEXT_PLAIN)      public String main()        throws Exception {                 java.util.List resultList;              /*Gets data from DB*/           InstanceQuery query = new InstanceQuery();      query.setDatabaseURL("jdbc:mysql://127.2.73.130:3306/cpmgg");      query.setUsername("adminnNWqHkW");      query.setPassword("zLlkWsd-NsnQ");         query.setQuery("SELECT * FROM features"); //Read table      Instances data = query.retrieveInstances(); //into data      data.setClassIndex(data.numAttributes() - 1); //sets the number of classes (creates index)          /*Classifiers */           String algorithm = "weka.classifiers.bayes.NaiveBayes"; // Sets the type of classifier (many available)           resultList = new ArrayList();           Weka1 weka;         try {             weka = new Weka1(algorithm, "lol");             resultList = weka.weka(algorithm, data); //Essentially what is happening                                                 /* TODO:              * Define Output so that it is in table form/instance form              * This means creating output using the old applet and somehow (?) distilling it into table shape              */               /* Saves Results to DB */            DatabaseSaver save = new DatabaseSaver();         // save.setUrl("jdbc:mysql://localhost:3306/weka_test");         save.setUrl("jdbc:mysql://127.2.73.130:3306/cpmgg");         //save.setUrl("jdbc:mysql://localhost:3306/hibernate");         save.setUser("AMDINADMIN");         save.setPassword("PASS_ PASS");         save.setInstances(data); // define outputtype         save.setRelationForTableName(false);         save.setTableName("weka_rslts");         save.connectToDatabase();         save.writeBatch();                return "done";       }     }

• Answer:

  I believe you have solved the problem using Weka UI already and now trying to implement your own program. Make your db is jdbc compatible.Then follow these links: http://weka.wikispaces.com/Databases http://weka.wikispaces.com/Use+Weka+in+your+Java+code Let me know if you are still stuck. Should be able to guide you further.