subscript.cpp

神经网络是序列预测,C++实现

tseries operator[](mask& m) const {
	
  unsigned int mask_size = m.size();

  // if mask is not same size as rows of tseries, then we cannot proceed
  if(mask_size!=rows) {
    cerr << "tseries& operator[](const mask m): bad mask." << endl;
    return tseries();
  }

  // init ans to size of elements of mask which are TRUE
  unsigned int ans_rows = m.total_true();

  tseries ans(ans_rows,cols);

  // loop through mask 
  unsigned int ans_row = 0;
  double* ans_data = ans.getData();
  DateT* ans_dates = ans.getDates();

  // loop through mask and set elements of new ans whenever mask is TRUE
  for(unsigned int i = 0; i < mask_size; i++) {
    if(m[i]) {
      ans_dates[ans_row] = dates[i];
      for(unsigned int c = 0; c < cols; c++) {
	ans_data[ans_row + c*ans_rows] = data[i + c*rows];
      }
      ans_row++;
    }
  }

  // set colnames of new answer
  ans.setColNames(colnames);

  return ans;
}

// when [] is used w/ a string it is just an alias for getColTS
tseries operator[](const string s) const {
  return getColTS(s);
}