Package org.apache.mahout.math

Examples of org.apache.mahout.math.MatrixSlice.index()

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      MatrixSlice s = pruneSlice.getKey();
      EigenStatus meta = pruneSlice.getValue();
      EigenVector ev = new EigenVector((DenseVector)s.vector(),
                                       meta.getEigenValue(),
                                       Math.abs(1-meta.getCosAngle()),
                                       s.index());
      log.info("appending " + ev.getName() + " to " + path.toString());
      vw.set(ev);
      iw.set(s.index());
      seqWriter.append(iw, vw);
    }
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                                       meta.getEigenValue(),
                                       Math.abs(1-meta.getCosAngle()),
                                       s.index());
      log.info("appending " + ev.getName() + " to " + path.toString());
      vw.set(ev);
      iw.set(s.index());
      seqWriter.append(iw, vw);
    }
    seqWriter.close();
  }
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    Iterator<MatrixSlice> mttIt = mtt.iterateAll();
    Map<Integer, Vector> mMap = new HashMap<Integer,Vector>();
    Map<Integer, Vector> mttMap = new HashMap<Integer, Vector>();
    while(mIt.hasNext() && mttIt.hasNext()) {
      MatrixSlice ms = mIt.next();
      mMap.put(ms.index(), ms.vector());
      MatrixSlice mtts = mttIt.next();
      mttMap.put(mtts.index(), mtts.vector());
    }
    for(Map.Entry<Integer, Vector> entry : mMap.entrySet()) {
      Integer key = entry.getKey();
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    Map<Integer, Vector> mttMap = new HashMap<Integer, Vector>();
    while(mIt.hasNext() && mttIt.hasNext()) {
      MatrixSlice ms = mIt.next();
      mMap.put(ms.index(), ms.vector());
      MatrixSlice mtts = mttIt.next();
      mttMap.put(mtts.index(), mtts.vector());
    }
    for(Map.Entry<Integer, Vector> entry : mMap.entrySet()) {
      Integer key = entry.getKey();
      Vector value = entry.getValue();
      if(value == null || mttMap.get(key) == null) {
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      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();
        if (!Double.isNaN(e.get())) {
          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double err = pref - estimate;
          avg.addDatum(err * err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] estimate is [{}]",
                   new Object[] { slice.index(), e.index(), pref, estimate });
        }
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          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double err = pref - estimate;
          avg.addDatum(err * err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] estimate is [{}]",
                   new Object[] { slice.index(), e.index(), pref, estimate });
        }
      }
    }
    double rmse = Math.sqrt(avg.getAverage());
    log.info("RMSE: {}", rmse);
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    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector()) {
        if (!Double.isNaN(e.get())) {
          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double confidence = 1 + alpha * observations.getQuick(slice.index(), e.index());
          double err = confidence * (pref - estimate) * (pref - estimate);
          avg.addDatum(err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] with confidence [{}] " +
                       "estimate is [{}]", new Object[]{slice.index(), e.index(), pref, confidence, estimate});
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      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector()) {
        if (!Double.isNaN(e.get())) {
          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double confidence = 1 + alpha * observations.getQuick(slice.index(), e.index());
          double err = confidence * (pref - estimate) * (pref - estimate);
          avg.addDatum(err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] with confidence [{}] " +
                       "estimate is [{}]", new Object[]{slice.index(), e.index(), pref, confidence, estimate});
        }
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          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double confidence = 1 + alpha * observations.getQuick(slice.index(), e.index());
          double err = confidence * (pref - estimate) * (pref - estimate);
          avg.addDatum(err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] with confidence [{}] " +
                       "estimate is [{}]", new Object[]{slice.index(), e.index(), pref, confidence, estimate});
        }
      }
    }
    double rmse = Math.sqrt(avg.getAverage());
    log.info("RMSE: {}", rmse);
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      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();
        if (!Double.isNaN(e.get())) {
          prefsAsText.append(separator).append(slice.index()).append(',').append(e.index()).append(',').append(e.get());
          separator = "\n";
        }
      }
    }
    return prefsAsText.toString();
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