sparklyr ml_kmeans Field＆＃34;功能＆＃34;不存在

Question

AWS EC2 Spark / Hadoop集群。

以下baisc K-Means sparklyr代码与Spark 2.0.1一起使用

  kmeans_model <- iris_tbl %>%
  select(Petal_Width, Petal_Length) %>%
  ml_kmeans(centers = 3)

我已升级到 Spark 2.1.1 ，我收到此错误

    Error: java.lang.IllegalArgumentException: Field "features" does not exist.
        at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:264)
        at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:264)
 ...
io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)

我已经使用代码

进行了一些测试

kmeans_model <- iris_tbl %>%
  select(Petal_Width, Petal_Length) %>%
  ml_kmeans(k = 3, features = c("Petal_Length", "Petal_Width"))

或

kmeans_model <- iris_tbl %>%
  dplyr::select(Petal_Width, Petal_Length) %>%
  ml_kmeans(centers = 3, features = c("Petal_Length", "Petal_Width"))

但仍然会得到同样的错误。