Machine Learning/moa

Setup Instructions

• Create a directory to run your moa programs from; we'll assume it is ~/moa
• Download the moa release .tar.gz file from http://sourceforge.net/projects/moa-datastream/ and extract it
  • copy moa.jar into ~/moa
• Download the weka release .zip file from http://sourceforge.net/projects/weka/ and extract it
  • copy weka.jar into ~/moa
• Download http://jroller.com/resources/m/maxim/sizeofag.jar and copy it into ~/moa

Training MOA models

• Your data will need to be in ARFF format
• To evaluate the performance of different models, you can run varying prequential classifiers and look at their performance; for example,

java -cp .:moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluatePrequential -l NaiveBayes -s (ArffFileStream -f atrain.arff -c -1) -O amodel_bayes.moa"
java -cp .:moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluatePrequential -l HoeffdingTree -s (ArffFileStream -f atrain.arff -c -1) -O amodel_hoeffding.moa"

• To actually generate the final model, you can run a command line like the following:

java -cp .:moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l NaiveBayes -s (ArffFileStream -f atrain.arff -c -1) -O amodel_bayes.moa"

Other Resources

• MOA site: http://www.cs.waikato.ac.nz/~abifet/MOA/