List of iterateAll() Examples

Examples of iterateAll()

net.sf.kpex.DataBase.iterateAll()
org.apache.mahout.math.Matrix.iterateAll()
org.apache.mahout.math.SparseRowMatrix.iterateAll()
org.openrdf.sail.nativerdf.btree.BTree.iterateAll()
Returns an iterator that iterates over all values in this B-Tree.
org.terasology.engine.ComponentSystemManager.iterateAll()
uk.ac.open.kmi.smartproducts.sesame.sail.btree.BTree.iterateAll()
Returns an iterator that iterates over all values in this B-Tree.

Examples of net.sf.kpex.DataBase.iterateAll()

   */
  @Override
  public int exec(Prog p)
  {
    DataBase db = (DataBase) ((JavaObject) getArg(0)).toObject();
    Source S = new JavaSource(db.iterateAll(), p);
    return putArg(1, S, p);
  }
}

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Examples of org.apache.mahout.math.Matrix.iterateAll()

    ALSWRFactorizer factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 5, true, alpha);


    SVDRecommender svdRecommender = new SVDRecommender(dataModel, factorizer);


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector().all()) {


        long userID = slice.index() + 1;

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Examples of org.apache.mahout.math.Matrix.iterateAll()

        new DenseVector(new double[] { na, 5.0,  na, 3.0 }),
        new DenseVector(new double[] {3.0,  na,  na, 5.0 }) });


    StringBuilder prefsAsText = new StringBuilder();
    String separator = "";
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();

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Examples of org.apache.mahout.math.Matrix.iterateAll()

    ALSWRFactorizer factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 5, true, alpha);


    SVDRecommender svdRecommender = new SVDRecommender(dataModel, factorizer);


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector().all()) {


        long userID = slice.index() + 1;

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

    info.append('\n');


    log.info(info.toString());


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

    info.append('\n');


    log.info(info.toString());


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector()) {
        if (!Double.isNaN(e.get())) {
          double pref = e.get();

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

    ALSWRFactorizer factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 5, true, alpha);


    SVDRecommender svdRecommender = new SVDRecommender(dataModel, factorizer);


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector().all()) {


        long userID = slice.index() + 1;

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

        new DenseVector(new double[] { na, 5.0,  na, 3.0 }),
        new DenseVector(new double[] {3.0,  na,  na, 5.0 }) });


    StringBuilder prefsAsText = new StringBuilder();
    String separator = "";
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

        preferences.numRows(), numFeatures);
    Matrix m = MathHelper.readEntries(conf, new Path(outputDir.getAbsolutePath(), "M/part-r-00000"),
      preferences.numCols(), numFeatures);


    RunningAverage avg = new FullRunningAverage();
    sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();

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Examples of org.apache.mahout.math.SparseRowMatrix.iterateAll()

    ALSWRFactorizer factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 5, true, alpha);


    SVDRecommender svdRecommender = new SVDRecommender(dataModel, factorizer);


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector().all()) {


        long userID = slice.index() + 1;

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