I'm trying to understand how I can add a bias when training in Spark. I have only a vague familiarity with this subject, so I hope this question will be clear enough.
Using liblinear a bias can be set - if it's >= 0, there will be an additional weight appended in the model, and predicting with that model will automatically append a feature for the bias. Is there anything similar in Spark, such as for logistic regression? The closest thing I can find is MLUtils.appendBias, but this seems to require manual work on both the training and scoring side. I was hoping for something that would just be part of the model. ~Daniel Siegmann
