Spark: Extracting summary for a ML logistic regression model from a pipeline model

Question

I\'ve estimated a logistic regression using pipelines.

My last few lines before fitting the logistic regression:

from pyspark.ml.feature import Vect         


        

Answer 1

Just get the model from stages:

lrModel.stages[-1].summary

If model is earlier in the Pipeline replace -1 with its index.