Hey Aseem,
If you are looking for a full-featured library to execute Spark ML
pipelines outside of Spark, take a look at MLeap:
https://github.com/combust/mleap
Not only does it support transforming single instances of a feature vector,
but you can execute your entire ML pipeline including featur
In Spark.ML the coefficients are not "pivoted" meaning that they do not set
one of the coefficient sets equal to zero. You can read more about it here:
https://en.wikipedia.org/wiki/Multinomial_logistic_regression#As_a_set_of_independent_binary_regressions
You can translate your set of coefficient
