String size = Utils.doubleToString(d.getCount(k), maxWidth, 4) .trim(); if (size.length() > maxWidth) { for (int k = 0; k < m_num_clusters; k++) { DiscreteEstimator d = (DiscreteEstimator) m_model[k][i]; String count = Utils.doubleToString(d.getCount(j), maxWidth, 4) .trim(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
String size = Utils.doubleToString(d.getCount(k), maxWidth, 4) .trim(); if (size.length() > maxWidth) { for (int k = 0; k < m_num_clusters; k++) { DiscreteEstimator d = (DiscreteEstimator) m_model[k][i]; String count = Utils.doubleToString(d.getCount(j), maxWidth, 4) .trim(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
DiscreteEstimator d = (DiscreteEstimator) m_Distribution[j]; for (int k = 0; k < d.getNumSymbols(); k++) { String size = "" + d.getCount(k); if (size.length() > maxWidth) { maxWidth = size.length(); for (int k = 0; k < m_Instances.numClasses(); k++) { DiscreteEstimator d = (DiscreteEstimator) m_Distributions[counter][k]; String count = "" + d.getCount(j); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
DiscreteEstimator d = (DiscreteEstimator) m_Distribution[j]; for (int k = 0; k < d.getNumSymbols(); k++) { String size = "" + d.getCount(k); if (size.length() > maxWidth) { maxWidth = size.length(); for (int k = 0; k < m_Instances.numClasses(); k++) { DiscreteEstimator d = (DiscreteEstimator) m_Distributions[counter][k]; String count = "" + d.getCount(j); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
if (m_theInstances.attribute(j).isNominal()) { for (int k = 0; k < m_theInstances.attribute(j).numValues(); k++) { m_model[i][j].addValue(k, m.m_taskModel[i][j].getCount(k));
if (m_theInstances.attribute(j).isNominal()) { for (int k = 0; k < m_theInstances.attribute(j).numValues(); k++) { m_model[i][j].addValue(k, m.m_taskModel[i][j].getCount(k));