Package org.apache.mahout.common.iterator

Examples of org.apache.mahout.common.iterator.FileLineIterable

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      try {
        inputStream = fs.open(input);
        inputStreamAgain = fs.open(input);
        fp.generateTopKFrequentPatterns(
                new StringRecordIterator(new FileLineIterable(inputStream, encoding, false), pattern),
                fp.generateFList(
                        new StringRecordIterator(new FileLineIterable(inputStreamAgain, encoding, false), pattern),
                        minSupport),
                minSupport,
                maxHeapSize,
                features,
                new StringOutputConverter(new SequenceFileOutputCollector<Text, TopKStringPatterns>(writer))
        );
      } finally {
        Closeables.close(writer, false);
        Closeables.close(inputStream, true);
        Closeables.close(inputStreamAgain, true);
      }
    } else {
      FPGrowth<String> fp = new FPGrowth<String>();


      inputStream = fs.open(input);
      inputStreamAgain = fs.open(input);
      try {
        fp.generateTopKFrequentPatterns(
                new StringRecordIterator(new FileLineIterable(inputStream, encoding, false), pattern),
                fp.generateFList(
                        new StringRecordIterator(new FileLineIterable(inputStreamAgain, encoding, false), pattern),
                        minSupport),
                minSupport,
                maxHeapSize,
                features,
                new StringOutputConverter(new SequenceFileOutputCollector<Text, TopKStringPatterns>(writer)),
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    File input = new File(inputDir, "synth_test.txt");
    params.set(PFPGrowth.INPUT, input.getAbsolutePath());
    params.set(PFPGrowth.OUTPUT, outputDir.getAbsolutePath());
    Writer writer = Files.newWriter(input, Charsets.UTF_8);
    try {
      StringRecordIterator it = new StringRecordIterator(new FileLineIterable(Resources.getResource(
        "FPGsynth.dat").openStream()), "\\s+");
      Collection<List<String>> transactions = Lists.newArrayList();
     
      while (it.hasNext()) {
        Pair<List<String>,Long> next = it.next();
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    final Map<Set<String>,Long> seqResult = Maps.newHashMap();
   
    FPGrowthObj<String> fpSeq = new FPGrowthObj<String>();
    fpSeq.generateTopKFrequentPatterns(
      new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename).openStream()), "\\s+"),

      fpSeq.generateFList(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename)
           .openStream()), "\\s+"), minSupport), minSupport, 1000000,
      null,
      new OutputCollector<String,List<Pair<List<String>,Long>>>() {
       
        @Override
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    FPGrowthObj<String> fp = new FPGrowthObj<String>();
   
    String inputFilename = "FPGsynth.dat";

    StringRecordIterator it =
        new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename).openStream()), "\\s+");
    int patternCnt_10_13_1669 = 0;
    int patternCnt_10_13 = 0;
    while (it.hasNext()) {
      Pair<List<String>,Long> next = it.next();
      List<String> items = next.getFirst();
      if (items.contains("10") && items.contains("13")) {
        patternCnt_10_13++;
        if (items.contains("1669")) {
          patternCnt_10_13_1669++;
        }
      }
    }

    int minSupport = 50;
    if (patternCnt_10_13_1669 < minSupport) {
      throw new IllegalStateException("the test is broken or data is missing ("
                                          + patternCnt_10_13_1669 + ", "
                                          + patternCnt_10_13 + ')');
    }

    final Map<Set<String>,Long> results = Maps.newHashMap();
   
    Set<String> features_10_13 = Sets.newHashSet();
    features_10_13.add("10");
    features_10_13.add("13");

    Set<String> returnableFeatures = Sets.newHashSet();
    returnableFeatures.add("10");
    returnableFeatures.add("13");
    returnableFeatures.add("1669");
   
    fp.generateTopKFrequentPatterns(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename).openStream()), "\\s+"),

                                    fp.generateFList(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename)
                                                                                                   .openStream()), "\\s+"), minSupport), minSupport, 100000,
                                    returnableFeatures,
                                    new OutputCollector<String,List<Pair<List<String>,Long>>>() {
       
                                      @Override
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    final Map<Set<String>,Long> results1 = Maps.newHashMap();

    String inputFilename = "FPGsynth.dat";
    int minSupport = 100;
    fp1.generateTopKFrequentPatterns(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename).openStream()), "\\s+"),

                                     fp1.generateFList(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename)
                                                                                                     .openStream()), "\\s+"), minSupport), minSupport, 1000000,
                                     returnableFeatures,
                                     new OutputCollector<String,List<Pair<List<String>,Long>>>() {
       
                                       @Override
                                         public void collect(String key, List<Pair<List<String>,Long>> value) {
         
                                         for (Pair<List<String>,Long> v : value) {
                                           List<String> l = v.getFirst();
                                           results1.put(Sets.newHashSet(l), v.getSecond());
                                           System.out.println("found pat ["+v.getSecond()+"]: "+ v.getFirst());
                                         }
                                       }
       
                                     }, new StatusUpdater() {
       
                                         @Override
                                           public void update(String status) {}
                                       });

    FPGrowthObj<String> fp2 = new FPGrowthObj<String>();
    final Map<Set<String>,Long> initialResults2 = Maps.newHashMap();
    fp2.generateTopKFrequentPatterns(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename).openStream()), "\\s+"),

                                     fp2.generateFList(new StringRecordIterator(new FileLineIterable(Resources.getResource(inputFilename)
                                                                                                     .openStream()), "\\s+"), minSupport), minSupport, 1000000,
                                     Sets.<String>newHashSet(),
                                     new OutputCollector<String,List<Pair<List<String>,Long>>>() {
       
                                       @Override
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    params.set(PFPGrowth.INPUT, input.getAbsolutePath());
    params.set(PFPGrowth.OUTPUT, outputDir.getAbsolutePath());

    Writer writer = Files.newWriter(input, Charsets.UTF_8);
    try {
      StringRecordIterator it = new StringRecordIterator(new FileLineIterable(Resources.getResource(
        "retail.dat").openStream()), "\\s+");
      Collection<List<String>> transactions = Lists.newArrayList();
     
      while (it.hasNext()) {
        Pair<List<String>,Long> next = it.next();
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  /**
   * Test Parallel FPGrowth on retail data using top-level runPFPGrowth() method
   */
  @Test
  public void testRetailDataMinSup100() throws Exception {
    StringRecordIterator it = new StringRecordIterator(new FileLineIterable(Resources.getResource(
      "retail_results_with_min_sup_100.dat").openStream()), "\\s+");
    Map<Set<String>,Long> expectedResults = Maps.newHashMap();
    while (it.hasNext()) {
      Pair<List<String>,Long> next = it.next();
      List<String> items = Lists.newArrayList(next.getFirst());
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  /**
   * Test Parallel FPG on retail data, running various stages individually
   */
  @Test
  public void testRetailDataMinSup100InSteps() throws Exception {
    StringRecordIterator it = new StringRecordIterator(new FileLineIterable(Resources.getResource(
      "retail_results_with_min_sup_100.dat").openStream()), "\\s+");  
    Map<Set<String>,Long> expectedResults = Maps.newHashMap();
    while (it.hasNext()) {
      Pair<List<String>,Long> next = it.next();
      List<String> items = Lists.newArrayList(next.getFirst());
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     assertEquals(3.5, recommendedItem.getValue(), 0.05);
   }

  static Map<Pair<Long,Long>, Double> readSimilarities(File file) throws IOException {
    Map<Pair<Long,Long>, Double> similarities = Maps.newHashMap();
    for (String line : new FileLineIterable(file)) {
      String[] parts = line.split("\t");
      similarities.put(new Pair<Long,Long>(Long.parseLong(parts[0]), Long.parseLong(parts[1])),
          Double.parseDouble(parts[2]));
    }
    return similarities;
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    return similarities;
  }

  static Map<Long,List<RecommendedItem>> readRecommendations(File file) throws IOException {
    Map<Long,List<RecommendedItem>> recommendations = Maps.newHashMap();
    for (String line : new FileLineIterable(file)) {

      String[] keyValue = line.split("\t");
      long userID = Long.parseLong(keyValue[0]);
      String[] tokens = keyValue[1].replaceAll("\\[", "")
          .replaceAll("\\]", "").split(",");
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