when I run mahout trainlogistic , there is an optional param --features from the book "Mahout in action", it says:
--features The size of the internal feature vector to use in building the model. A larger value here can be helpful, especially with text-like input data so is this something like buffer size so it does not affect the result of the training? I thought the feature count to be considered in the model is already explicitly given by the --predictors param thanks yang
