function [L1err,L2err,rankedErr]=evalPDEachMovie(activeMatTrain,...
    activeMatTest,otherMat,K,coeff,sigma,numValues,lowRate,highRate,type)

valVec=1:numValues;
for j=1:size(activeMatTest,1),
    %discreate case
    if(type == 0)
        activeMatTrain = floor(activeMatTrain);
        otherMat = floor(otherMat);
        [pred,predMean]=predictPreferencePD(activeMatTrain(j,:), otherMat,...
            numValues,sigma);
    else
        %continuous case
        predMean=predictPreferencePDcont(activeMatTrain(j,:), activeMatTest(j,:),otherMat,...
        lowRate,highRate,sigma);
        %display(j);
        %display(predMean);
    end
    
    ind = find(activeMatTest(j,:)>0);
    predPref = predMean(ind);
    truePref = full(activeMatTest(j,ind));
    L2err(j)=mean((predPref-truePref).^2);
    L1err(j)=norm(predPref-truePref,1)/length(predPref);
    %rankedErr(j)=rankedEvalCF(predPref,truePref,K,coeff);
    rankedErr(j)=myRankedEvalCF(activeMatTrain(j,:),predPref,truePref,K,coeff);
end