Hi, You can use a RDD of LabelPoints to fit your model. Check the doc for more example : http://spark.apache.org/docs/latest/api/python/pyspark.ml.html?highlight=transform#pyspark.ml.classification.RandomForestClassificationModel.transform
cheers, Ardo. On Tue, Jun 21, 2016 at 6:12 PM, pseudo oduesp <pseudo20...@gmail.com> wrote: > Hi, > i am pyspark user and i want test Randomforest. > > i have dataframe with 100 columns > i should give Rdd or data frame to algorithme i transformed my dataframe > to only tow columns > label ands features columns > > df.label df.features > 0 (517,(0,1,2,333,56 ... > 1 (517,(0,11,0,33,6 ... > 0 (517,(0,1,0,33,8 ... > > but i dont have no ieda to transorme data frame like input to data frame i > test the example in offciel web page without succes > > please give me example how i can work and specily with test set . > > thanks >
