System.out.print(","); System.out.print(inst.valueSparse(i)); System.out.print(","); System.out.print(inst.valueSparse(i)); System.out.print(","); System.out.print(inst.valueSparse(i));
System.out.print(","); System.out.print(inst.valueSparse(i)); System.out.print(","); System.out.print(inst.valueSparse(i)); System.out.print(","); System.out.print(inst.valueSparse(i));
double sum = 0; for (int k = 0; k < m_histBarClassCounts[0].numValues(); k++) { sum += m_histBarClassCounts[0].valueSparse(k); sum += m_histBarClassCounts[temp].valueSparse(k);
y = (int) (y - Math.round(m_histBarClassCount.valueSparse(j) y, barWidth, (int) Math.round(m_histBarClassCount.valueSparse(j) } else if ((m_histBarClassCount.valueSparse(j) * heightRatio) > 0) { g.drawLine( x, y, x, (int) (y + Math.round(m_histBarClassCount.valueSparse(j) sum = sum + m_histBarClassCount.valueSparse(j);
double sum = 0; for (int k = 0; k < m_histBarClassCounts[0].numValues(); k++) { sum += m_histBarClassCounts[0].valueSparse(k); sum += m_histBarClassCounts[temp].valueSparse(k);
y = (int) (y - Math.round(m_histBarClassCount.valueSparse(j) y, barWidth, (int) Math.round(m_histBarClassCount.valueSparse(j) } else if ((m_histBarClassCount.valueSparse(j) * heightRatio) > 0) { g.drawLine( x, y, x, (int) (y + Math.round(m_histBarClassCount.valueSparse(j) sum = sum + m_histBarClassCount.valueSparse(j);
/** * Merges this instance with the given instance and returns the result. * Dataset is set to null. * * @param inst the instance to be merged with this one * @return the merged instances */ @Override public Instance mergeInstance(Instance inst) { double[] values = new double[numValues() + inst.numValues()]; int[] indices = new int[numValues() + inst.numValues()]; int m = 0; for (int j = 0; j < numValues(); j++, m++) { values[m] = valueSparse(j); indices[m] = index(j); } for (int j = 0; j < inst.numValues(); j++, m++) { values[m] = inst.valueSparse(j); indices[m] = numAttributes() + inst.index(j); } return new SparseInstance(1.0, values, indices, numAttributes() + inst.numAttributes()); }
/** * Merges this instance with the given instance and returns the result. * Dataset is set to null. * * @param inst the instance to be merged with this one * @return the merged instances */ @Override public Instance mergeInstance(Instance inst) { double[] values = new double[numValues() + inst.numValues()]; int[] indices = new int[numValues() + inst.numValues()]; int m = 0; for (int j = 0; j < numValues(); j++, m++) { values[m] = valueSparse(j); indices[m] = index(j); } for (int j = 0; j < inst.numValues(); j++, m++) { values[m] = inst.valueSparse(j); indices[m] = numAttributes() + inst.index(j); } return new SparseInstance(1.0, values, indices, numAttributes() + inst.numAttributes()); }