@Test
public void testAllRecommenderSystemsFilePersistence()
throws CannotLoadRatingsDataset, CannotLoadContentDataset {
final List<RecommenderSystem> recommenderSystems =
RecommenderSystemsFactory.getInstance().getAllClasses(RecommenderSystem.class);
for (RecommenderSystem recommenderSystem : recommenderSystems) {
if (recommenderSystem instanceof Recommender_DatasetProperties) {
continue;
}
String configFile = TEST_DIRECTORY + recommenderSystem.getName() + "_config.xml";
RecommenderSystemConfigurationFileParser.saveConfigFile(
configFile,
recommenderSystem,
datasetLoader,
new FilePersistence(recommenderSystem.getName(), "dat", new File(TEST_DIRECTORY)),
new OnlyNewItems(),
getRecommendationOutputFileXML(recommenderSystem));
Chronometer chronometer = new Chronometer();
SingleUserRecommendation.buildRecommendationModel(configFile);
Global.showln(
"Built model of '" + recommenderSystem + "' in " + chronometer.printTotalElapsed());
RatingsDataset<? extends Rating> ratingsDataset = datasetLoader.getRatingsDataset();
chronometer.reset();
ratingsDataset
.allUsers()
.stream()
.forEach(
(idUser) -> {
SingleUserRecommendation.recommendToUser(configFile, idUser);
});
Global.showln(
"Recommended with '"
+ recommenderSystem
+ "' to "
+ datasetLoader.getRatingsDataset().allUsers().size()
+ " users in "
+ chronometer.printTotalElapsed());
}
}
@Override
public void progressChanged(ExperimentProgress algorithmExperiment) {
String executionTask = algorithmExperiment.getExecutionProgressTask();
int executionPercent = algorithmExperiment.getExecutionProgressPercent();
boolean begin = executionPercent == 0;
boolean finish = executionPercent == 100;
boolean repeated =
executionPercent == executionLastPercent && executionTask.equals(executionLastTask);
boolean timeTrigger = chronometer.getTotalElapsed() >= verbosePeriod;
if (((begin || finish) && !repeated) || timeTrigger) {
printProgress(algorithmExperiment);
executionLastPercent = executionPercent;
executionLastTask = executionTask;
chronometer.reset();
}
}