Spark ml how to extract split points from trained decision tree mode

[AaronLee]

I am following  official spark 2.4.3 tutorial
<https://spark.apache.org/docs/2.4.3/ml-classification-regression.html#decision-tree-classifier>
  
trained a decision tree model. How to extract split points from the trained
model?

// model
val dt = new DecisionTreeClassifier()
  .setLabelCol("indexedLabel")
  .setFeaturesCol("indexedFeatures")
  .setMaxBins(10)

// Train model.  This also runs the indexers.
val dtm = dt.fit(trainingData)

// extract bin split points
how to do it                   <- ?



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