how to re-train Saved linear regression ML model in pyspark when new data is coming
I don't think so, you use pyspark.ml.regression.GeneralizedLinearRegression to train, and then you get a pyspark.ml.regression.GeneralizedLinearRegressionModel, that is what you have saved.
AFIK, the model can't be refitted, you have to use the regression fit again to get a new model.
I trained a linear regression model using pyspark ml and save it.now i want to re-train it on the bases of new data batch.. is it possible??