Esempio n. 1
0
  /**
   * Standardize the matrix entries by row- or column-wise z-scores (z=(x-u)/sigma)
   *
   * @param isByRow standardize by row if true; otherwise by column
   */
  public void standardize(boolean isByRow) {

    int iters = isByRow ? numRows : numColumns;
    for (int iter = 0; iter < iters; iter++) {
      SparseVector vec = isByRow ? row(iter) : column(iter);

      if (vec.getCount() > 0) {

        double[] data = vec.getData();
        double mu = Stats.mean(data);
        double sigma = Stats.sd(data, mu);

        for (VectorEntry ve : vec) {
          int idx = ve.index();
          double val = ve.get();
          double z = (val - mu) / sigma;

          if (isByRow) this.set(iter, idx, z);
          else this.set(idx, iter, z);
        }
      }
    }
  }
Esempio n. 2
0
 /** @return sum of matrix data */
 public double sum() {
   return Stats.sum(rowData);
 }