some stuff for spark ml I find useful
An implicit recursive print method to print either a Pipeline or PipelineModel
import org.apache.spark.ml.feature.SQLTransformer
import org.apache.spark.ml.PipelineUtil._
val s1: SQLTransformer = new SQLTransformer("s1").setStatement("select a, b from __THIS__")
val s2: SQLTransformer = new SQLTransformer("s2").setStatement("select *, a+b as c from __THIS__")
val s3: SQLTransformer = new SQLTransformer("s3").setStatement("select *, c/5 as d from __THIS__")
val pipeline = new Pipeline("pipe").setStages(Array(s1, s2, s3))running pipelin.render() would return
| Pipeline: pipe
| 0: SQLTransformer uid: s1
| 1: SQLTransformer uid: s2
| 2: SQLTransformer uid: s3
Nested pipelines would look like this:
| Pipeline: pipe3
| 0: Pipeline: pipe2
| 0: Pipeline: pipe
| 0: SQLTransformer uid: s1
| 1: SQLTransformer uid: s2
| 2: SQLTransformer uid: s3
| 1: SQLTransformer uid: s2
| 1: SQLTransformer uid: s1
| 2: SQLTransformer uid: s3
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