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On Sun, Aug 31, 2014 at 4:17 AM, 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. > These are synonyms. The reason for having two words is that features looks more at the data while the word predictors looks more at what the feature is doing in the model and is making a contrast with the phrase "target variable". Supervised learning has a sad abundance of redundant terminology. Levels, categories, models and so on come from different communities building the same functionality independently with their own slant on how it should be communicated. > 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? > How many features are you talking about having? Also, which parts of mahout and which version are you trying to use?
