@Override
public void sitePostAction(File root, File category, File site) {
Statistics statistics;
RollerLearner roller;
Validator validator;
Rule rule;
try {
// ///////////////////////////////////////////////////////////////////////////
System.out.printf("===> ROLLER'S LEARNING FROM %s%n", site.getName());
Watch.start();
{
ConfigurationPersistence.load(site);
statistics = new Statistics();
roller = new RollerLearner();
roller.setStatistics(statistics);
roller.learn();
rule = roller.getRule();
}
Watch.stop();
RulePersistence.save(site, rule);
System.out.printf(
"<=== END LEARNING %s - %s - %s%n",
site.getName(),
Formatter.toTime(Watch.getTiming()),
Formatter.toSize(Memory.getFreeMemory()));
// Site, Learning Time (segs.), Score, Nodes, Attempts, contexts, contexts', Attributes, Num.
// Rules, Num. Selectors
GlobalConfiguration.getOutput()
.printf(
"%s,%f,%f,%d,%d,%d,%d,%d,%d,%d,",
site.getName(),
Watch.getTiming() / 1000.0,
RollerConfiguration.getScoringFunction().compute(rule),
roller.getStatistics().getNodesExplored(),
roller.getStatistics().getNumberAttempts(),
rule.getTrainingDataset().getContexts().size(),
computecontextsx(rule),
computeAttributes(rule),
computeNumRules(rule),
computeNumSelectors(rule));
Memory.collectGarbage();
// ///////////////////////////////////////////////////////////////////////////
System.out.printf("===> ROLLER'S TESTING %s%n", site.getName());
Watch.start();
{
validator = new Validator();
validator.setRule(rule);
validator.setDataSet(RollerConfiguration.getTestSet());
validator.validate();
}
Watch.stop();
System.out.printf("%s%n", validator.getPerformance().toSummaryString(true));
System.out.printf("%s%n", validator.getPerformance().toClassDetailsString());
System.out.printf("%s%n", validator.getPerformance().toMatrixString());
System.out.printf(
"<=== END TESTING %s - %s - %s%n",
site.getName(),
Formatter.toTime(Watch.getTiming()),
Formatter.toSize(Memory.getFreeMemory()));
// Testing Time (segs.), P, R, F1, ROC, Error Rate
GlobalConfiguration.getOutput()
.printf(
"%f,%f,%f,%f,%f,%f%n",
Watch.getTiming() / 1000.0,
validator.getPerformance().weightedPrecision(),
validator.getPerformance().weightedRecall(),
validator.getPerformance().weightedFMeasure(),
validator.getPerformance().weightedAreaUnderROC(),
validator.getPerformance().errorRate());
GlobalConfiguration.getOutput().flush();
Memory.collectGarbage();
} catch (Throwable oops) {
System.out.printf("%n%n%nOOPS! SOMETHING WENT WRONG!%n%n%n");
oops.printStackTrace(System.out);
GlobalConfiguration.getOutput().println();
System.out.printf("%n%n%n");
}
}
@Override
public void walkPreaction(File root) {
GlobalConfiguration.getOutput()
.printf(
"Site,Learning Time (segs.),Score,Nodes,Attempts,contexts,contexts',Attributes,Num.Rules,Num.Selectors,Testing Time (segs.),P,R,F1,ROC,Error Rate%n");
}