Hi,
after spark 1.3 we have dataframe ( thanks good )  ,  instead rdd  :

 in machine learning algorithmes we should  give him an RDD or dataframe?

i mean when i build modele :


   Model  = algoritme(rdd)
or
   Model =  algorithme(df)



if you have an  exemple with data frame i prefer work with it.

thanks .

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