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-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala3
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala3
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala3
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/util/Instrumentation.scala13
4 files changed, 16 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
index 1ad4e09724..9c9614509c 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
@@ -276,8 +276,7 @@ class BisectingKMeans @Since("2.0.0") (
val summary = new BisectingKMeansSummary(
model.transform(dataset), $(predictionCol), $(featuresCol), $(k))
model.setSummary(Some(summary))
- // TODO: need to extend logNamedValue to support Array
- instr.logNamedValue("clusterSizes", summary.clusterSizes.mkString("[", ",", "]"))
+ instr.logNamedValue("clusterSizes", summary.clusterSizes)
instr.logSuccess(model)
model
}
diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala
index 3091bb5a2e..64ecc1ebda 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala
@@ -426,8 +426,7 @@ class GaussianMixture @Since("2.0.0") (
$(predictionCol), $(probabilityCol), $(featuresCol), $(k), logLikelihood)
model.setSummary(Some(summary))
instr.logNamedValue("logLikelihood", logLikelihood)
- // TODO: need to extend logNamedValue to support Array
- instr.logNamedValue("clusterSizes", summary.clusterSizes.mkString("[", ",", "]"))
+ instr.logNamedValue("clusterSizes", summary.clusterSizes)
instr.logSuccess(model)
model
}
diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
index e72d7f9485..1704412741 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
@@ -359,8 +359,7 @@ class KMeans @Since("1.5.0") (
model.transform(dataset), $(predictionCol), $(featuresCol), $(k))
model.setSummary(Some(summary))
- // TODO: need to extend logNamedValue to support Array
- instr.logNamedValue("clusterSizes", summary.clusterSizes.mkString("[", ",", "]"))
+ instr.logNamedValue("clusterSizes", summary.clusterSizes)
instr.logSuccess(model)
if (handlePersistence) {
instances.unpersist()
diff --git a/mllib/src/main/scala/org/apache/spark/ml/util/Instrumentation.scala b/mllib/src/main/scala/org/apache/spark/ml/util/Instrumentation.scala
index 467130b37c..3a1c166d46 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/util/Instrumentation.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/util/Instrumentation.scala
@@ -132,6 +132,19 @@ private[spark] class Instrumentation[E <: Estimator[_]] private (
log(compact(render(name -> value)))
}
+ def logNamedValue(name: String, value: Array[String]): Unit = {
+ log(compact(render(name -> compact(render(value.toSeq)))))
+ }
+
+ def logNamedValue(name: String, value: Array[Long]): Unit = {
+ log(compact(render(name -> compact(render(value.toSeq)))))
+ }
+
+ def logNamedValue(name: String, value: Array[Double]): Unit = {
+ log(compact(render(name -> compact(render(value.toSeq)))))
+ }
+
+
/**
* Logs the successful completion of the training session.
*/