src/test/scripts/functions/builtin/NaiveBayesPredict.dml

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D = read($1);
C = read($2);

# divide data into "train" and "test" subsets
numRows = nrow(D);
trainSize = numRows * 0.8;
trainData = D[1:trainSize,];
testData = D[(trainSize+1):numRows,];
C = C[1:trainSize,];

# calc "prior" and "conditionals" with naiveBayes build-in function
[prior, conditionals] = naiveBayes(D=trainData, C=C, laplace=$4, verbose=FALSE);

# compute predict
[YRaw,Y] = naiveBayesPredict(X=testData, P=prior, C=conditionals);

# write the results
write(YRaw, $5);
write(Y, $6);