From fba9e95452ca0a9b589bc14b27c750c69f482b8d Mon Sep 17 00:00:00 2001
From: Yanbo Liang <ybliang8@gmail.com>
Date: Wed, 28 Oct 2015 08:50:21 -0700
Subject: [SPARK-11369][ML][R] SparkR glm should support setting standardize
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SparkR glm currently support :
```formula, family = c(“gaussian”, “binomial”), data, lambda = 0, alpha = 0```
We should also support setting standardize which has been defined at [design documentation](https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit)

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #9331 from yanboliang/spark-11369.
---
 R/pkg/R/mllib.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'R/pkg')

diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R
index 25615e805e..aadd5b8da5 100644
--- a/R/pkg/R/mllib.R
+++ b/R/pkg/R/mllib.R
@@ -46,11 +46,11 @@ setClass("PipelineModel", representation(model = "jobj"))
 #'}
 setMethod("glm", signature(formula = "formula", family = "ANY", data = "DataFrame"),
           function(formula, family = c("gaussian", "binomial"), data, lambda = 0, alpha = 0,
-            solver = "auto") {
+            standardize = TRUE, solver = "auto") {
             family <- match.arg(family)
             model <- callJStatic("org.apache.spark.ml.api.r.SparkRWrappers",
                                  "fitRModelFormula", deparse(formula), data@sdf, family, lambda,
-                                 alpha, solver)
+                                 alpha, standardize, solver)
             return(new("PipelineModel", model = model))
           })
 
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