如何在Scala中将.rds R文件加载为Spark数据帧

我正在尝试为模型创建生产数据管道。作为这个管道的一部分,我保存了一个运行在 R 环境作为 .rds

set.seed(345)

df = data.frame(x = rnorm(20))

df = transform(df , y = 5 + (2.3*x) + rnorm(20))

## model
m1 = lm(y ~ x , data = df)

## Take out the coefficients 
coeff = m1$coefficients

> coeff
(Intercept)           x 
   4.938554    2.328345

## save the model coefficients
saveRDS(coeff, "~/Desktop/coeff.rds")

现在,我想装上这些 coefficients 在Scala程序中 Spark Dataframe ,可能看起来像这样-

val loadCoefficients = # some method to load .rds file as a Spark Data frame

loadCoefficients.show
org.apache.spark.sql.DataFrame
(Intercept)           x 
   4.938554    2.328345