@Override
public void doWork() throws OperatorException {
ExampleSet exampleSet = exampleSetInput.getData();
IEntityMapping user_mapping = new EntityMapping();
IEntityMapping item_mapping = new EntityMapping();
IRatings training_data = new Ratings();
if (exampleSet.getAttributes().getSpecial("user identification") == null) {
throw new UserError(this, 105);
}
if (exampleSet.getAttributes().getSpecial("item identification") == null) {
throw new UserError(this, 105);
}
if (exampleSet.getAttributes().getLabel() == null) {
throw new UserError(this, 105);
}
Attributes Att = exampleSet.getAttributes();
AttributeRole ur = Att.getRole("user identification");
Attribute u = ur.getAttribute();
AttributeRole ir = Att.getRole("item identification");
Attribute i = ir.getAttribute();
Attribute ui = Att.getLabel();
for (Example example : exampleSet) {
double j = example.getValue(u);
int uid = user_mapping.ToInternalID((int) j);
j = example.getValue(i);
int iid = item_mapping.ToInternalID((int) j);
double r = example.getValue(ui);
training_data.Add(uid, iid, r);
}
_slopeOne recommendAlg = new _slopeOne();
recommendAlg.user_mapping = user_mapping;
recommendAlg.item_mapping = item_mapping;
recommendAlg.SetMinRating(getParameterAsInt("Min Rating"));
recommendAlg.SetMaxRating(recommendAlg.GetMinRating() + getParameterAsInt("Range"));
recommendAlg.SetRatings(training_data);
recommendAlg.Train();
exampleSetOutput.deliver(exampleSet);
exampleSetOutput1.deliver(recommendAlg);
}
@Override
public void doWork() throws OperatorException {
ExampleSet exampleSet = exampleSetInput.getData();
IPosOnlyFeedback training_data = new PosOnlyFeedback();
IEntityMapping user_mapping = new EntityMapping();
IEntityMapping item_mapping = new EntityMapping();
if (exampleSet.getAttributes().getSpecial("user identification") == null) {
throw new UserError(this, 105);
}
if (exampleSet.getAttributes().getSpecial("item identification") == null) {
throw new UserError(this, 105);
}
Attributes Att = exampleSet.getAttributes();
AttributeRole ur = Att.getRole("user identification");
Attribute u = ur.getAttribute();
AttributeRole ir = Att.getRole("item identification");
Attribute i = ir.getAttribute();
for (Example example : exampleSet) {
double j = example.getValue(u);
int uid = (int) j;
j = example.getValue(i);
int iid = (int) j;
training_data.Add(user_mapping.ToInternalID(uid), item_mapping.ToInternalID(iid));
checkForStop();
}
System.out.println(training_data.GetMaxItemID() + " " + training_data.GetMaxUserID());
Random recommendAlg = new Random();
recommendAlg.SetFeedback(training_data);
recommendAlg.user_mapping = user_mapping;
recommendAlg.item_mapping = item_mapping;
recommendAlg.Train();
exampleSetOutput.deliver(exampleSet);
exampleSetOutput1.deliver(recommendAlg);
}
