119120121122123124125126127128129
while (this.currentJob.shouldContinue()) { train.iteration(); interation++; } watch.stop(); } catch (final Throwable t) { this.currentJob.setError(t); } finally { this.ready.set(true); this.manager.jobDone(watch.getElapsedMilliseconds(), this);
6364656667686970717273
sw.start(); // run epoch of learning procedure for (int i = 0; i < ITERATIONS; i++) { train.iteration(); } sw.stop(); return sw.getElapsedMilliseconds(); } public static long BenchmarkEncogFlat(double[][] input, double[][] output) {
8687888990919293949596
sw.start(); // run epoch of learning procedure for (int i = 0; i < ITERATIONS; i++) { train.iteration(); } sw.stop(); return sw.getElapsedMilliseconds(); } static double[][] Generate(int rows, int columns) {
5758596061626364656667
sw.start(); // run epoch of learning procedure for (int i = 0; i < ITERATIONS; i++) { train.iteration(); } sw.stop(); return sw.getElapsedMilliseconds(); } static double[][] generate(int rows, int columns) {
5960616263646566676869