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-rw-r--r--mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala3
1 files changed, 2 insertions, 1 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala
index a214b1a26f..43193adf3e 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala
@@ -198,7 +198,7 @@ class GaussianMixture private (
val compute = sc.broadcast(ExpectationSum.add(weights, gaussians)_)
// aggregate the cluster contribution for all sample points
- val sums = breezeData.aggregate(ExpectationSum.zero(k, d))(compute.value, _ += _)
+ val sums = breezeData.treeAggregate(ExpectationSum.zero(k, d))(compute.value, _ += _)
// Create new distributions based on the partial assignments
// (often referred to as the "M" step in literature)
@@ -227,6 +227,7 @@ class GaussianMixture private (
llhp = llh // current becomes previous
llh = sums.logLikelihood // this is the freshly computed log-likelihood
iter += 1
+ compute.destroy(blocking = false)
}
new GaussianMixtureModel(weights, gaussians)