I tried one example on sparkR:
> training <- suppressWarnings(createDataFrame(iris))
> step(spark.glm(training, Sepal_Width ~ Sepal_Length + Species), direction = "forward")
> step(spark.glm(training, Sepal_Width ~ Sepal_Length + Species), direction = "forward")
There is an error:
Error: $ operator not defined for this S4 class
Based on my understanding of mllib.R, I think it is not supported yet.
Miao
----- Original message -----
From: Prasann modi <prasannm...@gmail.com>
To: u...@spark.apache.org
Cc: dev@spark.apache.org
Subject: SparkR Function for Step Wise Regression
Date: Mon, Dec 5, 2016 10:50 PM
Hello,
I have an issue related to SparkR. I want to build step wise regression model
using SparkR, is any function is there in SparkR to build those kind of model.
In R function is available for step wise regression, code is given below:
step(glm(formula,data,family),direction = "forward"))
If SparkR have function for step wise then please let me know.
Thanks & Regard
Prasann Modi
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