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-rw-r--r--mllib-local/src/main/scala/org/apache/spark/ml/stat/distribution/MultivariateGaussian.scala3
1 files changed, 2 insertions, 1 deletions
diff --git a/mllib-local/src/main/scala/org/apache/spark/ml/stat/distribution/MultivariateGaussian.scala b/mllib-local/src/main/scala/org/apache/spark/ml/stat/distribution/MultivariateGaussian.scala
index 0be28677ef..3167e0c286 100644
--- a/mllib-local/src/main/scala/org/apache/spark/ml/stat/distribution/MultivariateGaussian.scala
+++ b/mllib-local/src/main/scala/org/apache/spark/ml/stat/distribution/MultivariateGaussian.scala
@@ -28,7 +28,8 @@ import org.apache.spark.ml.linalg.{Matrices, Matrix, Vector, Vectors}
* This class provides basic functionality for a Multivariate Gaussian (Normal) Distribution. In
* the event that the covariance matrix is singular, the density will be computed in a
* reduced dimensional subspace under which the distribution is supported.
- * (see [[http://en.wikipedia.org/wiki/Multivariate_normal_distribution#Degenerate_case]])
+ * (see <a href="http://en.wikipedia.org/wiki/Multivariate_normal_distribution#Degenerate_case">
+ * here</a>)
*
* @param mean The mean vector of the distribution
* @param cov The covariance matrix of the distribution