W-Apriori in Rapidminer Java Code

E_N_R_I_C_O

Hello everybody,


i am a newbie in Rapidminer.
I just checked Rapidminer learner. There is a "W-Apriori" option in unsupervised learner Rapidminer.

Because i am using my Rapidminer in Javacode.
So, i thought i have to write like this:

import com.rapidminer.RapidMiner;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.Model;
import com.rapidminer.operator.Operator;
import com.rapidminer.operator.OperatorCreationException;
import com.rapidminer.operator.io.DatabaseExampleSource;
import com.rapidminer.tools.OperatorService;
import com.rapidminer.operator.learner.Learner;
import com.rapidminer.operator.learner.rules.SingleRuleLearner;
import com.rapidminer.operator.learner.weka.GenericWekaLearner;
import com.rapidminer.operator.learner.weka.WekaAssociator;
import com.rapidminer.operator.learner.weka.GenericWekaAssociationLearner;

public static void main(String[] args) throws Exception {

RapidMiner.init();

Operator databaseExampleSource = OperatorService.createOperator(DatabaseExampleSource.class);

databaseExampleSource.setParameter("database_url",URL );
databaseExampleSource.setParameter("username", USER);
databaseExampleSource.setParameter("password", PASSWORD);
databaseExampleSource.setParameter("label_attribute", "eventname");
// databaseExampleSource.setParameter("query","SELECT * FROM `test_weather`");
databaseExampleSource.setParameter("query","SELECT eventname,device6 FROM `v_assoc_rules_dev6`");

IOContainer container = databaseExampleSource.apply(new IOContainer());
ExampleSet exampleSet = container.get(ExampleSet.class);

//getting Learner
Learner learner = (Learner)OperatorService.createOperator(GenericWekaAssociationLearner.class);

Model model = learner.learn(exampleSet);


System.out.println("Result");
System.out.println(model.toResultString());

But there's an error when i run this code:

Exception in thread "main" com.rapidminer.operator.OperatorCreationException: No operator description object given for 'com.rapidminer.operator.learner.weka.GenericWekaAssociationLearner'
at com.rapidminer.tools.OperatorService.createOperator(OperatorService.java:564)
at datamining.rapidminer.RapidMiner1.main(RapidMiner1.java:83)

Can anyone please help me??????

Thank you

land

Hi,
are you still working with RapidMiner 4.x? The code looks like that.

Anyway you cannot build weka operators like that, because the class you entered is not one operator. Instead it's a generic adapter, which can be used for many operators. As far as I know, you could use the constructor with the String parameter instead. Simply enter the name of the operator, RapidMiner will search the implementing class itself.

By the way: Why not try FP-Growth? As far as you have sufficient memory, it will outperform Apriori around a magnitude.

Greetings,
  Sebastian