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From Nick Pentreath <nick.pentre...@gmail.com>
Subject Re: Making more features in Logistic Regression
Date Tue, 18 Oct 2016 19:59:35 GMT
You can use the PolynomialExpansion in Spark ML (
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.ml.feature.PolynomialExpansion
)

On Tue, 18 Oct 2016 at 21:47 miro <miroslav.karpis@gmail.com> wrote:

> Yes, I was thinking going down this road:
>
>
> http://scikit-learn.org/stable/modules/linear_model.html#polynomial-regression-extending-linear-models-with-basis-functions
>
> http://stats.stackexchange.com/questions/58739/polynomial-regression-using-scikit-learn
>
>
> But I’m not sure if spark actually has polynomial regression implemented
> (I couldn’t find it) - maybe SparkML gurus can help here?
>
> You could take a look also at scikit integration package with Spark (
> https://github.com/databricks/spark-sklearn).
>
> Hope it helped :)
>
> All the best,
> m.
>
>
>
> On 18 Oct 2016, at 20:36, aditya1702 <adityavyas17@gmail.com> wrote:
>
> <http://apache-spark-user-list.1001560.n3.nabble.com/file/n27918/pic1.png>
>
> <http://apache-spark-user-list.1001560.n3.nabble.com/file/n27918/pic2.png>
>
>
>
>
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