SparkQA commented on issue #23263: [SPARK-23674][ML] Adds Spark ML Events to Pipeline URL: https://github.com/apache/spark/pull/23263#issuecomment-447788439 **[Test build #100232 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100232/testReport)** for PR 23263 at commit [`17de2a8`](https://github.com/apache/spark/commit/17de2a87c55183f35c8ad8c76f0d59d980ebfc47). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `case class TransformStart(transformer: Transformer, input: Dataset[_]) extends MLEvent` * `case class TransformEnd(transformer: Transformer, output: Dataset[_]) extends MLEvent` * `case class FitStart[M <: Model[M]](estimator: Estimator[M], dataset: Dataset[_]) extends MLEvent` * `case class FitEnd[M <: Model[M]](estimator: Estimator[M], model: M) extends MLEvent` * `case class LoadInstanceStart[T](reader: MLReader[T], path: String) extends MLEvent` * `case class LoadInstanceEnd[T](reader: MLReader[T], instance: T) extends MLEvent` * `case class SaveInstanceStart(writer: MLWriter, path: String) extends MLEvent` * `case class SaveInstanceEnd(writer: MLWriter, path: String) extends MLEvent`
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