If you are using Scala/Java or
pyspark.mllib.classification.LogisticRegressionModel, you should be
able to call weights and intercept to get the model coefficients. If
you are using the pipeline API in Python, you can try
model._java_model.weights(), we are going to add a method to get the
weights
Hi,
I am training a model using the logistic regression algorithm in ML. I was
wondering if there is any API to access the weight vectors (aka the
co-efficients for each feature). I need those co-efficients for real time
predictions.
Thanks,
Jianguo
