int[] activeOutcomes = params[pi].getOutcomes(); double[] observed = observedExpects[pi].getParameters(); double[] model = modelExpects[0][pi].getParameters(); int[] activeOutcomes = params[pi].getOutcomes(); for (int aoi = 0; aoi < activeOutcomes.length; aoi++) { if (useGaussianSmoothing) {
int[] activeOutcomes = modelExpects[threadIndex][pi].getOutcomes(); for (int aoi = 0; aoi < activeOutcomes.length; aoi++) { int oi = activeOutcomes[aoi];
int[] activeOutcomes = params[pi].getOutcomes(); double[] observed = observedExpects[pi].getParameters(); double[] model = modelExpects[0][pi].getParameters(); int[] activeOutcomes = params[pi].getOutcomes(); for (int aoi = 0; aoi < activeOutcomes.length; aoi++) { if (useGaussianSmoothing) {
int[] activeOutcomes = params[pi].getOutcomes(); double[] observed = observedExpects[pi].getParameters(); double[] model = modelExpects[0][pi].getParameters(); int[] activeOutcomes = params[pi].getOutcomes(); for (int aoi=0;aoi<activeOutcomes.length;aoi++) { if (useGaussianSmoothing) {
int[] activeOutcomes = params[pi].getOutcomes(); double[] observed = observedExpects[pi].getParameters(); double[] model = modelExpects[0][pi].getParameters(); int[] activeOutcomes = params[pi].getOutcomes(); for (int aoi=0;aoi<activeOutcomes.length;aoi++) { if (useGaussianSmoothing) {
int pi = contexts[ei][j]; if (predicateCounts[pi] >= cutoff) { int[] activeOutcomes = modelExpects[threadIndex][pi].getOutcomes(); for (int aoi = 0; aoi < activeOutcomes.length; aoi++) { int oi = activeOutcomes[aoi];
int pi = contexts[ei][j]; if (predicateCounts[pi] >= cutoff) { int[] activeOutcomes = modelExpects[threadIndex][pi].getOutcomes(); for (int aoi=0;aoi<activeOutcomes.length;aoi++) { int oi = activeOutcomes[aoi];
int pi = contexts[ei][j]; if (predicateCounts[pi] >= cutoff) { int[] activeOutcomes = modelExpects[threadIndex][pi].getOutcomes(); for (int aoi=0;aoi<activeOutcomes.length;aoi++) { int oi = activeOutcomes[aoi];