diff options
Diffstat (limited to 'mllib-local')
| -rw-r--r-- | mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala b/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala index f1ecc65af1..98080bb71a 100644 --- a/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala +++ b/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala @@ -713,7 +713,7 @@ object SparseMatrix { "The expected number of nonzeros cannot be greater than Int.MaxValue.") val nnz = math.ceil(expected).toInt if (density == 0.0) { - new SparseMatrix(numRows, numCols, new Array[Int](numCols + 1), Array[Int](), Array[Double]()) + new SparseMatrix(numRows, numCols, new Array[Int](numCols + 1), Array.empty, Array.empty) } else if (density == 1.0) { val colPtrs = Array.tabulate(numCols + 1)(j => j * numRows) val rowIndices = Array.tabulate(size.toInt)(idx => idx % numRows) @@ -961,7 +961,7 @@ object Matrices { @Since("2.0.0") def horzcat(matrices: Array[Matrix]): Matrix = { if (matrices.isEmpty) { - return new DenseMatrix(0, 0, Array[Double]()) + return new DenseMatrix(0, 0, Array.empty) } else if (matrices.length == 1) { return matrices(0) } @@ -1020,7 +1020,7 @@ object Matrices { @Since("2.0.0") def vertcat(matrices: Array[Matrix]): Matrix = { if (matrices.isEmpty) { - return new DenseMatrix(0, 0, Array[Double]()) + return new DenseMatrix(0, 0, Array.empty) } else if (matrices.length == 1) { return matrices(0) } |