Hi Sourabh,
I came across same problem as you. One workable solution for me was to
serialize the parts of model that can be used again to recreate it. I
serialize RDD's in my model using saveAsObjectFile with a time stamp
attached to it in HDFS. My other spark application read from the latest
Hi Sameer,
Your model recreation should be:
val model = new LinearRegressionModel(weights, intercept)
As you have already got weights for linear regression model using stochastic
gradient descent, you just have to use LinearRegressionModel to construct
new model. Other points to notice is that
