Hi, I've got the following code <http://pastebin.com/3kexKwg6> that's almost complete, but I have 2 questions:
1) Once I've computed the TF-IDF vector, how do I compute the vector for each string to feed into the LabeledPoint? 2) Does MLLib provide any methods to evaluate the model's precision, recall, F-score, etc? All I saw in the documentation was"MLlib supports common evaluation metrics for binary classification (not available inPySpark). This includes precision, recall, F-measure". What about other classifiers besides binary, and from PySpark? thanks, imran
