diff options
Diffstat (limited to 'mllib')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala | 6 | ||||
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala | 6 |
2 files changed, 6 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala index 88914fa875..1c858348bf 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala @@ -179,12 +179,12 @@ private[spark] class MatrixUDT extends UserDefinedType[Matrix] { val tpe = row.getByte(0) val numRows = row.getInt(1) val numCols = row.getInt(2) - val values = row.getArray(5).toArray.map(_.asInstanceOf[Double]) + val values = row.getArray(5).toDoubleArray() val isTransposed = row.getBoolean(6) tpe match { case 0 => - val colPtrs = row.getArray(3).toArray.map(_.asInstanceOf[Int]) - val rowIndices = row.getArray(4).toArray.map(_.asInstanceOf[Int]) + val colPtrs = row.getArray(3).toIntArray() + val rowIndices = row.getArray(4).toIntArray() new SparseMatrix(numRows, numCols, colPtrs, rowIndices, values, isTransposed) case 1 => new DenseMatrix(numRows, numCols, values, isTransposed) diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala index 89a1818db0..96d1f48ba2 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala @@ -209,11 +209,11 @@ private[spark] class VectorUDT extends UserDefinedType[Vector] { tpe match { case 0 => val size = row.getInt(1) - val indices = row.getArray(2).toArray().map(_.asInstanceOf[Int]) - val values = row.getArray(3).toArray().map(_.asInstanceOf[Double]) + val indices = row.getArray(2).toIntArray() + val values = row.getArray(3).toDoubleArray() new SparseVector(size, indices, values) case 1 => - val values = row.getArray(3).toArray().map(_.asInstanceOf[Double]) + val values = row.getArray(3).toDoubleArray() new DenseVector(values) } } |