Hello Trevor, I assume you using the MultipleLinearRegression class in a manner similar to our examples, i.e.:
// Create multiple linear regression learnerval mlr = MultipleLinearRegression().setIterations(10).setStepsize(0.5).setConvergenceThreshold(0.001) // Obtain training and testing data setval trainingDS: DataSet[LabeledVector] = ...val testingDS: DataSet[Vector] = ... // Fit the linear model to the provided datamlr.fit(trainingDS) After you've run the fit method, you can get the weights by calling: val WeightVector(weights, intercept) = mlr.weightsOption.get.collect().head weights should be a flink.ml.math.DenseVector object and the intercept a Double. Regards, Theodore On Wed, Oct 7, 2015 at 10:52 PM, Trevor Grant <trevor.d.gr...@gmail.com> wrote: > Sorry if this is a novice question, but I can't figure out how to extract > the weights vector from a multiple linear regression model. I can > fit/predict, but I can't get the weight vector. > > Any advice would be appreciated (even snide go read the docs comments, so > long as they point me to applicable docs, because I've been struggling with > this all day). > > Thanks! > tg > > > Trevor Grant > Data Scientist > https://github.com/rawkintrevo > http://stackexchange.com/users/3002022/rawkintrevo > > *"Fortunate is he, who is able to know the causes of things." -Virgil* > >
