private static void printResult(List<Point> pointList, List<Algorithm> algorithms) {
for (Algorithm algorithm : algorithms) {
Result r = algorithm.run(pointList);
r.stop();
System.err.println(algorithm.toString());
System.err.println("Time: " + r.getTime());
System.err.println("Iterations: " + r.getIterationCount());
for (RoundResult rr : r.getResultsToReport()) {
System.err.println(rr.printResult());
}
// System.out.println(r.getBestResult().print(true));
System.err.println();
}
}
private static void writeToFile(Algorithm a, RoundResult[] resultsToReport) {
try {
PrintWriter pw =
new PrintWriter(
"resources/results_"
+ a.getClass().getSimpleName()
+ "_"
+ new SimpleDateFormat("yyyyMMdd_kkmm")
.format(new Date(System.currentTimeMillis())));
for (RoundResult r : resultsToReport) {
pw.println(r.toString());
}
pw.flush();
pw.close();
} catch (FileNotFoundException e) {
System.err.println("File not found: " + e.getMessage());
for (RoundResult r : resultsToReport) {
System.out.println(r.toString());
}
}
}
/** @param args the command line arguments -- modelname, alg_name, evaluation_times, [runid] */
public static void main(String[] args) throws Exception {
try {
String name = args[0];
URL location = Main.class.getProtectionDomain().getCodeSource().getLocation();
String loc = location.toString();
String project_path =
loc.substring(5, loc.lastIndexOf("SPL/")) + "SPL/"; // with '/' at the end
String fm = project_path + "dimacs_data/" + name + ".dimacs";
String augment = fm + ".augment";
String dead = fm + ".dead";
String mandatory = fm + ".mandatory";
String seed = fm + ".richseed";
String opfile = fm + ".sipop";
Problem p = new ProductLineProblem(fm, augment, mandatory, dead, seed);
// Problem p = new ProductLineProblemNovelPrep(fm, augment, mandatory, dead, seed,
// opfile);
// GroupedProblem.grouping((ProductLineProblem) p, 100); System.exit(0);
Algorithm a;
int evaluation_times = Integer.parseInt(args[2]);
String alg_name = args[1];
String runid = "";
if (args.length >= 4) {
runid = args[3];
}
switch (alg_name) {
case "IBEA":
a = new SPL_SettingsIBEA(p).configureICSE2013(evaluation_times);
break;
case "SIPIBEA":
a = new SPL_SettingsIBEA(p).configureSIPIBEA(evaluation_times);
break;
case "SPEA2":
a = new SPL_SettingsEMOs(p).configureSPEA2(evaluation_times);
break;
case "NSGA2":
a = new SPL_SettingsEMOs(p).configureNSGA2(evaluation_times);
break;
case "IBEASEED":
a = new SPL_SettingsIBEA(p).configureIBEASEED(evaluation_times);
break;
case "SATIBEA":
// a = new SPL_SettingsIBEA(p).configureICSE15(1000, fm, ((ProductLineProblem)
// p).getNumFeatures(),
// ((ProductLineProblem) p).getConstraints());
a =
new SPL_SettingsIBEA(p)
.configureSATIBEA(
evaluation_times,
fm,
((ProductLineProblem) p).getNumFeatures(),
((ProductLineProblem) p).getConstraints());
break;
default:
a = new SPL_SettingsIBEA(p).configureICSE2013(evaluation_times);
}
long start = System.currentTimeMillis();
SolutionSet pop = a.execute();
float total_time = (System.currentTimeMillis() - start) / 1000.0f;
String file_tag =
name + "_" + alg_name + '_' + evaluation_times / 1000 + "k_" + runid + ".txt";
String file_path = project_path + "j_res/" + file_tag;
File file = new File(file_path);
if (!file.exists()) {
file.createNewFile();
}
FileWriter fw = new FileWriter(file.getAbsoluteFile());
BufferedWriter bw = new BufferedWriter(fw);
for (int i = 0; i < pop.size(); i++) {
Variable v = pop.get(i).getDecisionVariables()[0];
bw.write((Binary) v + "\n");
System.out.println("Conf" + (i + 1) + ": " + (Binary) v + " ");
}
bw.write("~~~\n");
for (int i = 0; i < pop.size(); i++) {
Variable v = pop.get(i).getDecisionVariables()[0];
for (int j = 0; j < pop.get(i).getNumberOfObjectives(); j++) {
bw.write(pop.get(i).getObjective(j) + " ");
System.out.print(pop.get(i).getObjective(j) + " ");
}
bw.write("\n");
System.out.println("");
}
System.out.println(total_time);
bw.write("~~~\n" + total_time + "\n");
bw.close();
fw.close();
} catch (Exception e) {
e.printStackTrace();
}
}
public static void main(String[] args) throws Throwable {
DATASET = System.getProperty("dataset", "movielens-pos.json");
TRAINPERCENT = Double.parseDouble(System.getProperty("trainPercent", "0.8"));
TESTPERCENT = Double.parseDouble(System.getProperty("testPercent", "0.5"));
RUNS = Integer.parseInt(System.getProperty("runs", "1"));
PREDICTIONS = Integer.parseInt(System.getProperty("predictions", "1"));
// rand = new Random( Integer.parseInt( System.getProperty( "seed", "1" ) ) );
rand = new Random();
System.out.println("File: " + DATASET);
System.out.println("Train Percent: " + TRAINPERCENT);
System.out.println("Test Percent: " + TESTPERCENT);
System.out.println("Runs: " + RUNS);
System.out.println("Predictions: " + PREDICTIONS);
docs = DatasetOld.loadDataset(DATASET);
for (Algorithm alg : algs) {
System.out.print(alg.name + "\t");
double total = 0.0;
long trainTime = 0;
long predictTime = 0;
for (int run = 0; run < RUNS; run++) {
ArrayList<HashMap<Integer, Double>> traindocs = new ArrayList<HashMap<Integer, Double>>();
ArrayList<HashMap<Integer, Double>> testdocs = new ArrayList<HashMap<Integer, Double>>();
for (HashMap<Integer, Double> doc : docs) {
if (rand.nextDouble() < TRAINPERCENT) traindocs.add(doc);
else testdocs.add(doc);
}
long startTime = System.nanoTime();
alg.train(traindocs);
trainTime += System.nanoTime() - startTime;
int successes = 0;
for (HashMap<Integer, Double> testdoc : testdocs) {
HashMap<Integer, Double> givenwords = new HashMap<Integer, Double>();
HashSet<Integer> testwords = new HashSet<Integer>();
for (int word : testdoc.keySet()) {
if (rand.nextDouble() < TESTPERCENT) {
testwords.add(word);
} else {
givenwords.put(word, testdoc.get(word));
}
}
startTime = System.nanoTime();
double[] scores = alg.predict(givenwords);
predictTime += System.nanoTime() - startTime;
// System.out.println(Arrays.toString( scores ));
PriorityQueue<Pair> pq = new PriorityQueue<Pair>();
for (int i = 0; i < scores.length; i++) {
if (givenwords.containsKey(i)) {
continue;
}
if (pq.size() < PREDICTIONS) {
pq.add(new Pair(i, scores[i]));
}
if (scores[i] > pq.peek().score) {
pq.poll();
pq.add(new Pair(i, scores[i]));
}
}
while (!pq.isEmpty()) {
Pair pair = pq.poll();
// System.out.println( WordIndex.get( pair.word ) + "\t" + pair.score + "\t" +
// testwords.contains( pair.word ) );
if (testwords.contains(pair.word)) {
successes++;
}
}
}
total += (double) successes / PREDICTIONS / testdocs.size();
}
System.out.println(
total / RUNS
+ "\t"
+ (trainTime / 1000000000.0 / RUNS)
+ "\t"
+ (predictTime / 1000000000.0 / RUNS));
}
}
