Re: Question about Multinomial LogisticRegression in spark mllib in spark 2.1.0

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

Re: Question about Multinomial LogisticRegression in spark mllib in spark 2.1.0

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

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Can a admin of mailing list please remove this email? I get this email every time I send an email to the mailing list. On Wed, Feb 1, 2017 at 5:12 PM, Yahoo! No Reply wrote: > > This is an automatically generated message. > > tylerchap...@yahoo-inc.com is no longer

Question about Multinomial LogisticRegression in spark mllib in spark 2.1.0

*What I want to do* I have a trained a ml.classification.LogisticRegressionModel using spark ml package. It has 3 features and 3 classes. So the generated model has coefficients in (3, 3) matrix and intercepts in Vector of length (3) as expected. Now, I want to take these coefficients and