/// <summary> Convert a single instance over. The converted instance is /// added to the end of the output queue. /// /// </summary> /// <param name="instance">the instance to convert /// </param> private void convertInstance(Instance instance) { Instance inst = null; if (instance is SparseInstance) { double[] vals = new double[instance.numValues()]; int[] indices = new int[instance.numValues()]; int num = 0; for (int j = 0; j < instance.numValues(); j++) { if (instance.isMissingSparse(j) && (getInputFormat().classIndex() != instance.index(j)) && (instance.attributeSparse(j).Nominal || instance.attributeSparse(j).Numeric)) { if (m_ModesAndMeans[instance.index(j)] != 0.0) { vals[num] = m_ModesAndMeans[instance.index(j)]; indices[num] = instance.index(j); num++; } } else { vals[num] = instance.valueSparse(j); indices[num] = instance.index(j); num++; } } if (num == instance.numValues()) { inst = new SparseInstance(instance.weight(), vals, indices, instance.numAttributes()); } else { double[] tempVals = new double[num]; int[] tempInd = new int[num]; Array.Copy(vals, 0, tempVals, 0, num); Array.Copy(indices, 0, tempInd, 0, num); inst = new SparseInstance(instance.weight(), tempVals, tempInd, instance.numAttributes()); } } else { double[] vals = new double[getInputFormat().numAttributes()]; for (int j = 0; j < instance.numAttributes(); j++) { if (instance.isMissing(j) && (getInputFormat().classIndex() != j) && (getInputFormat().attribute(j).Nominal || getInputFormat().attribute(j).Numeric)) { vals[j] = m_ModesAndMeans[j]; } else { vals[j] = instance.value_Renamed(j); } } inst = new Instance(instance.weight(), vals); } inst.Dataset = instance.dataset(); push(inst); }