@Test public void testComputeYearsToSimulate() { String[] args = { "2010", "2011", "2012", "2013,2014" }; Integer[] expectedYearsToSimulate = { 2013, 2014 }; Integer[] actualYearsToSimulate = MlpNetworkTrainer.computeYearsToSimulate(args); assertArrayEquals(expectedYearsToSimulate, actualYearsToSimulate); }
protected static Integer[] computeYearsToSimulate(String[] args) { Integer[] ret = null; String yearsToSimulate = args[args.length - 1]; StringTokenizer strtok = new StringTokenizer(yearsToSimulate, ","); List<Integer> yts = new ArrayList<>(); while (strtok.hasMoreTokens()) { Integer year = Integer.valueOf(strtok.nextToken()); NetworkUtils.validateYear(year); yts.add(year); } ret = yts.toArray(new Integer[yts.size()]); return ret; }
MlpNetworkTrainer implements LearningEventListener { protected static Integer[] computeYearsToSimulate(String[] args) { Integer[] ret = null; String yearsToSimulate = args[args.length - 1]; StringTokenizer strtok = new StringTokenizer(yearsToSimulate, ","); List<Integer> yts = new ArrayList<>(); while (strtok.hasMoreTokens()) { Integer year = Integer.valueOf(strtok.nextToken()); NetworkUtils.validateYear(year); yts.add(year); } ret = yts.toArray(new Integer[yts.size()]); return ret; } }
MlpNetworkTrainer implements LearningEventListener { protected static Integer[] computeYearsToSimulate(String[] args) { Integer[] ret = null; String yearsToSimulate = args[args.length - 1]; StringTokenizer strtok = new StringTokenizer(yearsToSimulate, ","); List<Integer> yts = new ArrayList<>(); while (strtok.hasMoreTokens()) { Integer year = Integer.valueOf(strtok.nextToken()); NetworkUtils.validateYear(year); yts.add(year); } ret = yts.toArray(new Integer[yts.size()]); return ret; } MlpNetworkTrainer(ApplicationContext applicationContext); }
MlpNetworkTrainer implements LearningEventListener { protected static Integer[] computeYearsToSimulate(String[] args) { Integer[] ret = null; String yearsToSimulate = args[args.length - 1]; StringTokenizer strtok = new StringTokenizer(yearsToSimulate, ","); List<Integer> yts = new ArrayList<>(); while (strtok.hasMoreTokens()) { Integer year = Integer.valueOf(strtok.nextToken()); NetworkUtils.validateYear(year); yts.add(year); } ret = yts.toArray(new Integer[yts.size()]); return ret; } MlpNetworkTrainer(ApplicationContext applicationContext); SeasonData pullSeasonData(Integer year, String teamName); List<TournamentResult> pullTournamentResults(Integer year); SeasonAnalytics pullSeasonAnalytics(Integer year); static void main(String[] args); void go(String[] args); @SuppressWarnings("unchecked") @Override void handleLearningEvent(LearningEvent event); }
MlpNetworkTrainer implements LearningEventListener { protected static Integer[] computeYearsToSimulate(String[] args) { Integer[] ret = null; String yearsToSimulate = args[args.length - 1]; StringTokenizer strtok = new StringTokenizer(yearsToSimulate, ","); List<Integer> yts = new ArrayList<>(); while (strtok.hasMoreTokens()) { Integer year = Integer.valueOf(strtok.nextToken()); NetworkUtils.validateYear(year); yts.add(year); } ret = yts.toArray(new Integer[yts.size()]); return ret; } MlpNetworkTrainer(ApplicationContext applicationContext); SeasonData pullSeasonData(Integer year, String teamName); List<TournamentResult> pullTournamentResults(Integer year); SeasonAnalytics pullSeasonAnalytics(Integer year); static void main(String[] args); void go(String[] args); @SuppressWarnings("unchecked") @Override void handleLearningEvent(LearningEvent event); static final TransferFunctionType NEURON_PROPERTY_TRANSFER_FUNCTION; }