/** * returns the loader used in the tests * * @return the configured loader */ public AbstractLoader getLoader() { return new ArffLoader(); }
/** * Main method. * * @param args should contain the name of an input file. */ public static void main(String[] args) { runFileLoader(new ArffLoader(), args); } }
/** * Main method. * * @param args should contain the name of an input file. */ public static void main(String[] args) { runFileLoader(new ArffLoader(), args); } }
/** * returns the loader used in the tests * * @return the configured loader */ public AbstractLoader getLoader() { return new ArffLoader(); }
ArffLoader loader = new ArffLoader(); loader.setFile(new File("some.arff")); Instances data= loader.getStructure(); // you missed this sampler.setInputFormat(data);
public class Main { private static final String ARFF_FILE_PATH = "YOUR_ARFF_FILE_PATH"; public static void main(String[] args) throws IOException { ArffLoader arffLoader = new ArffLoader(); File datasetFile = new File(ARFF_FILE_PATH); arffLoader.setFile(datasetFile); Instances dataInstances = arffLoader.getDataSet(); for(Instance inst : dataInstances){ System.out.println("Instance:" + inst); } } }
import java.io.*; import weka.core.Instance; import weka.core.Instances; import weka.core.converters.ArffLoader; import weka.core.converters.ArffLoader.ArffReader; public class assign3 { public static void main(String args[]) throws IOException { ArffLoader arffloader=new ArffLoader(); File filedata = new File("/home/cse611/Downloads/iris.arff"); arffloader.setFile(filedata); Instances data = arffloader.getDataSet();`enter code here` for(Instance inst : data){ System.out.println("Instance:" + inst); } } }
ArffLoader loader= new ArffLoader(); loader.setSource(new File("C:/Users/..../Desktop/maitre.arff")); Instances data= loader.getDataSet();
ArffLoader arffLoader = new ArffLoader(); arffLoader.setFile(new File(fName1)); Instances newData1 = arffLoader.getDataSet(); arffLoader.setFile(new File(fName2)); Instances newData2 = arffLoader.getDataSet(); Instances mergedData = Instances.mergeInstances( newData1 ,newData2);
ArffLoader testingData = new ArffLoader(); testingData.setFile(new File("sample2.txt")); Instances testingStructure = testingData.getStructure(); testingStructure.setClassIndex(structure.numAttributes() - 1); Instance test; while ((test = testingData.getNextInstance(testingStructure)) != null) { System.out.println(nb.classifyInstance(test)); }
ArffLoader loader = new ArffLoader(); loader.setFile(new File("data.arff")); Instances structure = loader.getDataSet(); structure.setClassIndex(1);
/** * Initializes the datasource with the given input stream. This stream is * always interpreted as ARFF. * * @param stream the stream to use */ public DataSource(InputStream stream) { super(); m_BatchBuffer = null; m_Loader = new ArffLoader(); try { m_Loader.setSource(stream); } catch (Exception e) { m_Loader = null; } m_File = null; m_URL = null; m_Incremental = (m_Loader instanceof IncrementalConverter); initBatchBuffer(); }
/** * Initializes the datasource with the given input stream. This stream is * always interpreted as ARFF. * * @param stream the stream to use */ public DataSource(InputStream stream) { super(); m_BatchBuffer = null; m_Loader = new ArffLoader(); try { m_Loader.setSource(stream); } catch (Exception e) { m_Loader = null; } m_File = null; m_URL = null; m_Incremental = (m_Loader instanceof IncrementalConverter); initBatchBuffer(); }
m_Loader = new ArffLoader(); } else { if (m_File != null) {
m_Loader = new ArffLoader(); } else { if (m_File != null) {
private static void build_model() { // TODO Auto-generated method stub try{ // load data ArffLoader loader = new ArffLoader(); loader.setFile(new File("D:\\MAIN PROJECT\\data.arff")); Instances structure = loader.getDataSet(); structure.setClassIndex(structure.numAttributes() - 1); System.out.println("Attributes : "+structure.numAttributes()); System.out.println("Instances : "+structure.numInstances()); // train SMO System.out.println("Before creating smo object"); SMO smo = new SMO(); System.out.println("SMO object created"); smo.buildClassifier(structure); System.out.println("Classifier build"); System.out.println(smo); System.out.println("\nModel build successfully"); } catch(Exception e){ System.out.println("\nstack trace : " + e); } }
ArffLoader trainLoader = new ArffLoader();
ArffLoader loader = new ArffLoader(); loader.setFile(new File(""));//file is valid Instances structure = loader.getStructure(); structure.setClassIndex(0); // train NaiveBayes NaiveBayesMultinomialUpdateable n = new NaiveBayesMultinomialUpdateable(); FilteredClassifier f = new FilteredClassifier(); StringToWordVector s = new StringToWordVector(); f.setFilter(s); f.setClassifier(n); f.buildClassifier(structure); Instance current; while ((current = loader.getNextInstance(structure)) != null) n.updateClassifier(current); // output generated model System.out.println(n);
weka.core.converters.ArffLoader loader = null; if (filename.length() != 0) { loader = new weka.core.converters.ArffLoader(); loader.setFile(new java.io.File(filename)); } else {
weka.core.converters.ArffLoader loader = null; if (filename.length() != 0) { loader = new weka.core.converters.ArffLoader(); loader.setFile(new java.io.File(filename)); } else {