Hi All, I am using the example of model selection via cross-validation from the documentation here: http://spark.apache.org/docs/latest/ml-guide.html. After I get the "cvModel", I would like to see the weights for each feature for the best logistic regression model. I've been looking at the methods and attributes of this "cvModel" and "cvModel.bestModel" and still can't figure out where these weights are referred. It must be somewhere since we can use "cvModel" to transform a new dataframe. Your help is much appreciated.
Thank you, Wei