On Sun, Aug 31, 2014 at 4:47 PM, sara khodeir <[email protected]> wrote: > I'm curious what the difference between the predictors and features are in > the logistic regression model, what is the point of having features if it > predicts using the predictors. >
Features are the data points of your data-set. Predictors are the data points you choose for learning, from the features. > Also,I am trying to include more features than can fit into the command > line so I wrote a file of the parameters and I'm trying to run it like this > ./mahout "filepath" but this doesn't work. Does anyone know how I can do > this? What version of Mahout are you using? What exact commands are you running? You can trail logistic regression like so: $ mahout trainlogistic --input donut.csv --output ./model --target color --categories 2 --predictors x y --types numeric --features 20 --passes 100 --rate 50 And then evaluate it like so: $ mahout runlogistic --input donut-test.csv --model ./model --auc --confusion It is not clear with your description, what steps you are following. Are you referring to "--predictors x y" part of the command line arguments? /tuxdna
