Hi afaik yes (other pls override ). Generally, in RandomForest and DecisionTree you have a column which you are trying to 'predict' (the label) and a set of features that are used to predict the outcome. i would assume that if you specify thelabel column and the 'features' columns, everything else is ignored...
kr On Wed, Jul 20, 2016 at 6:03 PM, pseudo oduesp <pseudo20...@gmail.com> wrote: > hi , > we have parmaters named > > > labelCol="labe" > > > ,featuresCol="features", > > when i precise the value here (label and features) if train my model on > data frame with other columns tha algorithme choos only label columns and > features columns ? > > thanks >
