int sum = Utils.doubleToString(d.getSumOfCounts(), maxWidth, 4) .trim().length(); if (sum > maxWidth) { for (int k = 0; k < m_num_clusters; k++) { DiscreteEstimator d = (DiscreteEstimator) m_model[k][i]; String count = Utils.doubleToString(d.getSumOfCounts(), maxWidth, 4) .trim(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
int sum = Utils.doubleToString(d.getSumOfCounts(), maxWidth, 4) .trim().length(); if (sum > maxWidth) { for (int k = 0; k < m_num_clusters; k++) { DiscreteEstimator d = (DiscreteEstimator) m_model[k][i]; String count = Utils.doubleToString(d.getSumOfCounts(), maxWidth, 4) .trim(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
int sum = ("" + d.getSumOfCounts()).length(); if (sum > maxWidth) { maxWidth = sum; for (int k = 0; k < m_Instances.numClasses(); k++) { DiscreteEstimator d = (DiscreteEstimator) m_Distributions[counter][k]; String count = "" + d.getSumOfCounts(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));
int sum = ("" + d.getSumOfCounts()).length(); if (sum > maxWidth) { maxWidth = sum; for (int k = 0; k < m_Instances.numClasses(); k++) { DiscreteEstimator d = (DiscreteEstimator) m_Distributions[counter][k]; String count = "" + d.getSumOfCounts(); temp.append(pad(count, " ", maxWidth + 1 - count.length(), true));