Package org.apache.mahout.math.hadoop.similarity.cooccurrence

Examples of org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$MergeVectorsReducer

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    if (shouldRunNextPhase(parsedArgs, currentPhase)) {
      int numberOfUsers = HadoopUtil.readInt(new Path(prepPath, PreparePreferenceMatrixJob.NUM_USERS),
          getConf());

      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[] {
          "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
          "--output", similarityMatrixPath.toString(),
          "--numberOfColumns", String.valueOf(numberOfUsers),
          "--similarityClassname", similarityClassName,
          "--maxSimilaritiesPerRow", String.valueOf(maxSimilarItemsPerItem),
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      }

      /* Once DistributedRowMatrix uses the hadoop 0.20 API, we should refactor this call to something like
       * new DistributedRowMatrix(...).rowSimilarity(...) */
      //calculate the co-occurrence matrix
      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[]{
              "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
              "--output", similarityMatrixPath.toString(),
              "--numberOfColumns", String.valueOf(numberOfUsers),
              "--similarityClassname", similarityClassname,
              "--maxSimilaritiesPerRow", String.valueOf(maxSimilaritiesPerItem),
View Full Code Here
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    if (shouldRunNextPhase(parsedArgs, currentPhase)) {
      int numberOfUsers = HadoopUtil.readInt(new Path(prepPath, PreparePreferenceMatrixJob.NUM_USERS),
          getConf());

      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[] {
        "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
        "--output", similarityMatrixPath.toString(),
        "--numberOfColumns", String.valueOf(numberOfUsers),
        "--similarityClassname", similarityClassName,
        "--maxSimilaritiesPerRow", String.valueOf(maxSimilarItemsPerItem),
View Full Code Here
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      }

      /* Once DistributedRowMatrix uses the hadoop 0.20 API, we should refactor this call to something like
       * new DistributedRowMatrix(...).rowSimilarity(...) */
      //calculate the co-occurrence matrix
      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[]{
        "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
        "--output", similarityMatrixPath.toString(),
        "--numberOfColumns", String.valueOf(numberOfUsers),
        "--similarityClassname", similarityClassname,
        "--maxSimilaritiesPerRow", String.valueOf(maxSimilaritiesPerItem),
View Full Code Here
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    }

    if (shouldRunNextPhase(parsedArgs, currentPhase)) {
      int numberOfUsers = HadoopUtil.readInt(new Path(prepPath, PreparePreferenceMatrixJob.NUM_USERS), getConf());

      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[] {
        "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
        "--output", similarityMatrixPath.toString(),
        "--numberOfColumns", String.valueOf(numberOfUsers),
        "--similarityClassname", similarityClassName,
        "--maxObservationsPerRow", String.valueOf(maxPrefs),
View Full Code Here
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        numberOfUsers = (int) HadoopUtil.countRecords(new Path(prepPath, PreparePreferenceMatrixJob.USER_VECTORS),
                PathType.LIST, null, getConf());
      }

      //calculate the co-occurrence matrix
      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[]{
        "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
        "--output", similarityMatrixPath.toString(),
        "--numberOfColumns", String.valueOf(numberOfUsers),
        "--similarityClassname", similarityClassname,
        "--maxObservationsPerRow", String.valueOf(maxPrefsInItemSimilarity),
View Full Code Here
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      }

      /* Once DistributedRowMatrix uses the hadoop 0.20 API, we should refactor this call to something like
       * new DistributedRowMatrix(...).rowSimilarity(...) */
      //calculate the co-occurrence matrix
      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[]{
              "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
              "--output", similarityMatrixPath.toString(),
              "--numberOfColumns", String.valueOf(numberOfUsers),
              "--similarityClassname", similarityClassname,
              "--maxSimilaritiesPerRow", String.valueOf(maxSimilaritiesPerItem),
View Full Code Here
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    if (shouldRunNextPhase(parsedArgs, currentPhase)) {
      int numberOfUsers = HadoopUtil.readInt(new Path(prepPath, PreparePreferenceMatrixJob.NUM_USERS),
          getConf());

      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[] {
          "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
          "--output", similarityMatrixPath.toString(),
          "--numberOfColumns", String.valueOf(numberOfUsers),
          "--similarityClassname", similarityClassName,
          "--maxSimilaritiesPerRow", String.valueOf(maxSimilarItemsPerItem),
View Full Code Here
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        numberOfUsers = (int) HadoopUtil.countRecords(new Path(prepPath, PreparePreferenceMatrixJob.USER_VECTORS),
                PathType.LIST, null, getConf());
      }

      //calculate the co-occurrence matrix
      ToolRunner.run(getConf(), new RowSimilarityJob(), new String[]{
        "--input", new Path(prepPath, PreparePreferenceMatrixJob.RATING_MATRIX).toString(),
        "--output", similarityMatrixPath.toString(),
        "--numberOfColumns", String.valueOf(numberOfUsers),
        "--similarityClassname", similarityClassname,
        "--maxObservationsPerRow", String.valueOf(maxPrefsInItemSimilarity),
View Full Code Here
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Related Classes of org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$MergeVectorsReducer

  • org.apache.hadoop.conf.Configuration
  • org.apache.hadoop.fs.Path
  • org.apache.hadoop.io.IntWritable
  • org.apache.hadoop.mapreduce.Job
  • org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
  • org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
  • org.apache.mahout.math.RandomAccessSparseVector
  • org.apache.mahout.math.SequentialAccessSparseVector
  • org.apache.mahout.math.Vector
  • org.apache.mahout.math.VectorWritable
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