Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/16774#discussion_r110980824
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/ValidatorParams.scala ---
@@ -67,6 +71,39 @@ private[ml] trait ValidatorParams extends HasSeed with
Params {
/** @group getParam */
def getEvaluator: Evaluator = $(evaluator)
+ /**
+ * param to control the number of models evaluated in parallel
+ * Default: 1
+ *
+ * @group param
+ */
+ val numParallelEval: IntParam = new IntParam(this, "numParallelEval",
+ "max number of models to evaluate in parallel, 1 for serial
evaluation",
+ ParamValidators.gtEq(1))
+
+ /** @group getParam */
+ def getNumParallelEval: Int = $(numParallelEval)
+
+ /**
+ * Creates a execution service to be used for validation, defaults to a
thread-pool with
+ * size of `numParallelEval`
+ */
+ protected var executorServiceFactory: (Int) => ExecutorService = {
+ (requestedMaxThreads: Int) => ThreadUtils.newDaemonCachedThreadPool(
+ s"${this.getClass.getSimpleName}-thread-pool", requestedMaxThreads)
+ }
+
+ /**
+ * Sets a function to get an execution service to be used for validation
+ *
+ * @param getExecutorService function to get an ExecutorService given a
requestedMaxThread size
+ */
+ @Experimental
+ @InterfaceStability.Unstable
+ def setExecutorService(getExecutorService: (Int) => ExecutorService):
Unit = {
--- End diff --
I think you are probably right about the Java thing, I'll test that out.
>custom one can be set with this method (advanced usage). If set, the
custom one will override.
That's how this works, the executor service can be overridden and set any
size thread pool, it is just passed the `numParallelEval` param for convenience
in case it wants to use it.
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