Package edu.uci.jforestsx.input.sparse

Examples of edu.uci.jforestsx.input.sparse.SparseTextFileReader.open()

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    for (int f = 0; f < featureCount; f++) {
      valueHashMaps.add(new HashMap<Integer, Integer>());
    }

    SparseTextFileReader reader = new SparseTextFileReader();
    reader.open(textFile);
    SparseTextFileLine line = new SparseTextFileLine();
    HashMap<Integer, Integer> curMap;
    int key;
    instanceCount = 0;
    while (reader.loadNextLine(line)) {
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    targets = new double[instanceCount];
    int[] zeroCount = new int[featureCount];

    SparseTextFileReader reader = new SparseTextFileReader();
    reader.open(textFile);
    SparseTextFileLine line = new SparseTextFileLine();
    int instanceIdx = 0;
    while (reader.loadNextLine(line)) {
      if (line.meta) {
        continue;
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public class Sparse2SvmConvertor {

  public static void convert(String inputFile, String outputFile) throws Exception {
    SparseTextFileReader reader = new SparseTextFileReader();
    reader.open(inputFile);
    SparseTextFileLine line = new SparseTextFileLine();
    int count = 0;
    PrintStream output = new PrintStream(new File(outputFile));
    StringBuilder sb = new StringBuilder();
    int featureCount = 0;
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    StringBuilder sb = new StringBuilder();
    double value;
    SparseTextFileReader reader = new SparseTextFileReader();
    SparseTextFileLine line = new SparseTextFileLine();
    reader.open(inputFilename);
    int intValue;
    try {
      PrintStream output = new PrintStream(new File(outputFilename));
      int count = 0;
      while (reader.loadNextLine(line)) {
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  }

  public void processFile(String inputFile) {
    System.out.println("Processing: " + inputFile);
    SparseTextFileReader reader = new SparseTextFileReader();
    reader.open(inputFile);
    SparseTextFileLine line = new SparseTextFileLine();
    FeatureStatistics stat;
    int count = 0;
    int maxFeatureIndex = 0;
    while (reader.loadNextLine(line)) {
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