Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/9303#issuecomment-151536352
This PR depends on #9302 , after it merged I will add this test case which
has passed on my local test environment.
```R
test_that("summary coefficients match with native glm of Logistic
Regression", {
df <- createDataFrame(sqlContext, iris)
training <- filter(df, df$Species != "setosa")
stats <- summary(glm(Species ~ Sepal_Length + Sepal_Width, data =
training, family = "binomial"))
coefs <- as.vector(stats$coefficients)
rTraining <- iris[iris$Species %in% c("versicolor","virginica"),]
rCoefs <- as.vector(coef(glm(Species ~ Sepal.Length + Sepal.Width, data =
rTraining,
family = binomial(link = "logit"))))
expect_true(all(abs(rCoefs - coefs) < 1e-4))
expect_true(all(
as.character(stats$features) ==
c("(Intercept)", "Sepal_Length", "Sepal_Width")))
})
```
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