Hi All
    I'm writing Java to use spark 2.0 RandomForestClassificationModel.
After I trained the model, I can use below code to predict :

RandomForestClassificationModel rfModel =
RandomForestClassificationModel.load(modelPath);
Vector v =
Vectors.sparse(FeatureIndex.TOTAL_INDEX.getIndex(), indexes, values);
double result = rfModel.predict(v)

But when I changed to scala , I couldn't use predict method in Classifier
anymore.
How should I use the RandomForestClassificationModel in Scala ?

Thanks
BR

Patrick

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