Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/16017#discussion_r89806761
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/DecisionTreeClassifier.scala
---
@@ -52,33 +52,49 @@ class DecisionTreeClassifier @Since("1.4.0") (
// Override parameter setters from parent trait for Java API
compatibility.
+ /** @group setParam */
@Since("1.4.0")
- override def setMaxDepth(value: Int): this.type =
super.setMaxDepth(value)
+ override def setMaxDepth(value: Int): this.type = set(maxDepth, value)
+ /** @group setParam */
@Since("1.4.0")
- override def setMaxBins(value: Int): this.type = super.setMaxBins(value)
+ override def setMaxBins(value: Int): this.type = set(maxBins, value)
+ /** @group setParam */
@Since("1.4.0")
- override def setMinInstancesPerNode(value: Int): this.type =
- super.setMinInstancesPerNode(value)
+ override def setMinInstancesPerNode(value: Int): this.type =
set(minInstancesPerNode, value)
+ /** @group setParam */
@Since("1.4.0")
- override def setMinInfoGain(value: Double): this.type =
super.setMinInfoGain(value)
+ override def setMinInfoGain(value: Double): this.type = set(minInfoGain,
value)
+ /** @group expertSetParam */
@Since("1.4.0")
- override def setMaxMemoryInMB(value: Int): this.type =
super.setMaxMemoryInMB(value)
+ override def setMaxMemoryInMB(value: Int): this.type =
set(maxMemoryInMB, value)
+ /** @group expertSetParam */
@Since("1.4.0")
- override def setCacheNodeIds(value: Boolean): this.type =
super.setCacheNodeIds(value)
+ override def setCacheNodeIds(value: Boolean): this.type =
set(cacheNodeIds, value)
+ /**
+ * Specifies how often to checkpoint the cached node IDs.
+ * E.g. 10 means that the cache will get checkpointed every 10
iterations.
+ * This is only used if cacheNodeIds is true and if the checkpoint
directory is set in
+ * [[org.apache.spark.SparkContext]].
+ * Must be >= 1.
+ * (default = 10)
+ * @group setParam
--- End diff --
Right, that would make the setter appear in models. Your way is better.
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