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
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 with Yahoo! Inc.
>
> Your mess
*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 convert