Examples of DenseDoubleVector

de.jungblut.math.dense.DenseDoubleVector
org.apache.hama.commons.math.DenseDoubleVector
Dense double vector implementation.
org.apache.hama.ml.math.DenseDoubleVector
Dense double vector implementation.

Examples of org.apache.hama.commons.math.DenseDoubleVector

  }
  @Override
  public double predict(InputStructure e) {
    int rank = e.user.getVector().getLength();
    if (zeroVector == null) {
      zeroVector = new DenseDoubleVector(rank, 0);
    }
    // below vectors are all size of MATRIX_RANK
    DoubleVector vl_yb_item = zeroVector;
    DoubleVector ml_xa_user = zeroVector;
    DoubleVector bbl_vl_yb = null;

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Examples of org.apache.hama.commons.math.DenseDoubleVector

      if (hasKey) {
        columnLength = columnLength - 1;
        indexPos++;
      }


      DenseDoubleVector vec = new DenseDoubleVector(columnLength);
      for (int j = 0; j < columnLength; j++) {
        vec.set(j, Double.parseDouble(split[j + indexPos]));
      }


      VectorWritable vector;
      if (hasKey) {
        NamedDoubleVector named = new NamedDoubleVector(split[0], vec);

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Examples of org.apache.hama.commons.math.DenseDoubleVector


      double[] arr = new double[dimension];
      for (int d = 0; d < dimension; d++) {
        arr[d] = r.nextInt(count);
      }
      VectorWritable vector = new VectorWritable(new DenseDoubleVector(arr));
      dataWriter.append(vector, value);
      if (k > i) {
        centerWriter.append(vector, value);
      }
    }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

    }
    return res;
  }


  private VectorWritable convertMatrixToVector(DoubleMatrix mat) {
    DoubleVector res = new DenseDoubleVector(mat.getRowCount()*mat.getColumnCount()+1);
    int idx = 0;
    res.set(idx, MATRIX_RANK);
    idx++;
    for (int i=0; i<mat.getRowCount(); i++) {
      for (int j=0; j<mat.getColumnCount(); j++) {
        res.set(idx, mat.get(i, j));
        idx++;
      }
    }
    return new VectorWritable(res);
  }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

      itemId = (Text) msg.get(OnlineCF.Settings.MSG_ITEM_MATRIX);
      value = (VectorWritable) msg.get(OnlineCF.Settings.MSG_VALUE);
      senderId = (IntWritable) msg.get(OnlineCF.Settings.MSG_SENDER_ID);


      if (normalizedValues.containsKey(itemId) == false) {
        DenseDoubleVector tmp = new DenseDoubleVector(MATRIX_RANK, 0.0);
        normalizedValues.put(itemId, tmp);
        normalizedValueCount.put(itemId, 0);
        senderList.put(itemId, new LinkedList<IntWritable>());
      }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

        // parse as <k:userId, v:(itemId, score)>
        String itemId = Long.toString((long)value.getVector().get(0));
        String score = Double.toString(value.getVector().get(1));


        if (usersMatrix.containsKey(actualId) == false) {
          DenseDoubleVector vals = new DenseDoubleVector(MATRIX_RANK);
          for (int i=0; i<MATRIX_RANK; i++) {
            vals.set(i, rnd.nextDouble());
          }
          VectorWritable rndValues = new VectorWritable(vals);
          usersMatrix.put(actualId, rndValues);
        }


        if (itemsMatrix.containsKey(itemId) == false) {
          DenseDoubleVector vals = new DenseDoubleVector(MATRIX_RANK);
          for (int i=0; i<MATRIX_RANK; i++) {
            vals.set(i, rnd.nextDouble());
          }
          VectorWritable rndValues = new VectorWritable(vals);
          itemsMatrix.put(itemId, rndValues);
        }
        preferences.add(new Preference<String, String>(actualId, itemId, Double.parseDouble(score)));

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Examples of org.apache.hama.commons.math.DenseDoubleVector

  private void updateTheta(double[] thetaDiff) {
    double[] newTheta = new double[theta.getLength()];
    for (int j = 0; j < theta.getLength(); j++) {
      newTheta[j] = theta.get(j) - thetaDiff[j] * alpha;
    }
    theta = new DenseDoubleVector(newTheta);
  }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

  private void broadcastVector(
      BSPPeer<VectorWritable, DoubleWritable, VectorWritable, DoubleWritable, VectorWritable> peer,
      double[] vector) throws IOException {
    for (String peerName : peer.getAllPeerNames()) {
      if (!peerName.equals(peer.getPeerName())) { // avoid sending to oneself
        peer.send(peerName, new VectorWritable(new DenseDoubleVector(vector)));
      }
    }
  }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

          BSPPeer<VectorWritable, DoubleWritable, VectorWritable, DoubleWritable, VectorWritable> peer)
      throws IOException, SyncException, InterruptedException {
    if (theta == null) {
      if (master) {
        int size = getXSize(peer);
        theta = new DenseDoubleVector(size, peer.getConfiguration().getInt(
            INITIAL_THETA_VALUES, 1));
        broadcastVector(peer, theta.toArray());
        if (log.isDebugEnabled()) {
          log.debug("{}: sending theta", peer.getPeerName());
        }

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Examples of org.apache.hama.commons.math.DenseDoubleVector

      e.printStackTrace();
    }


    // initial the mlp with existing model meta-data and get the output
    MultiLayerPerceptron mlp = new SmallMultiLayerPerceptron(modelPath);
    DoubleVector input = new DenseDoubleVector(new double[] { 1, 2, 3 });
    try {
      DoubleVector result = mlp.output(input);
      assertArrayEquals(new double[] { 0.6636557, 0.7009963, 0.7213835 },
          result.toArray(), 0.0001);
    } catch (Exception e1) {

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