static void displayStats() {
if (training_time_stats.size() > 0)
// TODO format floating point
System.out.println(
"Iteration time: min="
+ Collections.min(training_time_stats)
+ ", max="
+ Collections.max(training_time_stats)
+ ", avg="
+ Utils.average(training_time_stats)
+ " seconds");
if (eval_time_stats.size() > 0)
System.out.println(
"Evaluation time: min="
+ Collections.min(eval_time_stats)
+ ", max="
+ Collections.max(eval_time_stats)
+ ", avg="
+ Utils.average(eval_time_stats)
+ " seconds");
if (compute_fit && fit_time_stats.size() > 0)
System.out.println(
"fit_time: min="
+ Collections.min(fit_time_stats)
+ ", max="
+ Collections.max(fit_time_stats)
+ ", avg="
+ Utils.average(fit_time_stats)
+ " seconds");
System.out.println("Memory: " + Memory.getUsage() + " MB");
}
static void loadData(
String data_dir,
String user_attributes_file,
String item_attributes_file,
String user_relation_file,
String item_relation_file,
boolean static_data)
throws Exception {
long start = Calendar.getInstance().getTimeInMillis();
// Read training data
if ((recommender instanceof TimeAwareRatingPredictor || chronological_split != null)
&& file_format != RatingFileFormat.MOVIELENS_1M) {
training_data =
TimedRatingData.read(
Utils.combine(data_dir, training_file), user_mapping, item_mapping, false);
} else {
if (file_format == RatingFileFormat.DEFAULT)
training_data =
static_data
? StaticRatingData.read(
Utils.combine(data_dir, training_file),
user_mapping,
item_mapping,
rating_type,
false)
: RatingData.read(
Utils.combine(data_dir, training_file), user_mapping, item_mapping, false);
else if (file_format == RatingFileFormat.IGNORE_FIRST_LINE)
training_data =
static_data
? StaticRatingData.read(
Utils.combine(data_dir, training_file),
user_mapping,
item_mapping,
rating_type,
true)
: RatingData.read(
Utils.combine(data_dir, training_file), user_mapping, item_mapping, true);
else if (file_format == RatingFileFormat.MOVIELENS_1M)
training_data =
MovieLensRatingData.read(
Utils.combine(data_dir, training_file), user_mapping, item_mapping);
else if (file_format == RatingFileFormat.KDDCUP_2011)
training_data =
org.mymedialite.io.kddcup2011.Ratings.read(Utils.combine(data_dir, training_file));
}
recommender.setRatings(training_data);
// User attributes
if (user_attributes_file != null)
user_attributes =
AttributeData.read(
Utils.combine(data_dir, user_attributes_file), user_mapping, attribute_mapping);
if (recommender instanceof IUserAttributeAwareRecommender)
((IUserAttributeAwareRecommender) recommender).setUserAttributes(user_attributes);
// Item attributes
if (item_attributes_file != null)
item_attributes =
AttributeData.read(
Utils.combine(data_dir, item_attributes_file), item_mapping, attribute_mapping);
if (recommender instanceof IItemAttributeAwareRecommender)
((IItemAttributeAwareRecommender) recommender).setItemAttributes(item_attributes);
// User relation
if (recommender instanceof IUserRelationAwareRecommender) {
((IUserRelationAwareRecommender) recommender)
.setUserRelation(
RelationData.read(Utils.combine(data_dir, user_relation_file), user_mapping));
System.out.println(
"relation over " + ((IUserRelationAwareRecommender) recommender).numUsers() + " users");
}
// Item relation
if (recommender instanceof IItemRelationAwareRecommender) {
((IItemRelationAwareRecommender) recommender)
.setItemRelation(
RelationData.read(Utils.combine(data_dir, item_relation_file), item_mapping));
System.out.println(
"relation over "
+ ((IItemRelationAwareRecommender) recommender).getNumItems()
+ " items");
}
// Read test data
if (test_file != null) {
if (recommender instanceof TimeAwareRatingPredictor
&& file_format != RatingFileFormat.MOVIELENS_1M)
test_data =
TimedRatingData.read(
Utils.combine(data_dir, test_file), user_mapping, item_mapping, false);
else if (file_format == RatingFileFormat.MOVIELENS_1M)
test_data =
MovieLensRatingData.read(
Utils.combine(data_dir, test_file), user_mapping, item_mapping);
else if (file_format == RatingFileFormat.KDDCUP_2011)
test_data =
org.mymedialite.io.kddcup2011.Ratings.read(Utils.combine(data_dir, training_file));
else
test_data =
StaticRatingData.read(
Utils.combine(data_dir, test_file),
user_mapping,
item_mapping,
rating_type,
file_format == RatingFileFormat.IGNORE_FIRST_LINE);
}
System.out.println(
"Loading time: "
+ (double) (Calendar.getInstance().getTimeInMillis() - start) / 1000
+ " seconds");
System.out.println("Memory: " + Memory.getUsage() + " MB");
}