diff options
Diffstat (limited to 'python/pyspark/mllib/linalg/distributed.py')
| -rw-r--r-- | python/pyspark/mllib/linalg/distributed.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/python/pyspark/mllib/linalg/distributed.py b/python/pyspark/mllib/linalg/distributed.py index e1f022187d..43cb0beef1 100644 --- a/python/pyspark/mllib/linalg/distributed.py +++ b/python/pyspark/mllib/linalg/distributed.py @@ -256,7 +256,7 @@ class IndexedRowMatrix(DistributedMatrix): # on the Scala/Java side. Then we map each Row in the # DataFrame back to an IndexedRow on this side. rows_df = callMLlibFunc("getIndexedRows", self._java_matrix_wrapper._java_model) - rows = rows_df.map(lambda row: IndexedRow(row[0], row[1])) + rows = rows_df.rdd.map(lambda row: IndexedRow(row[0], row[1])) return rows def numRows(self): @@ -475,7 +475,7 @@ class CoordinateMatrix(DistributedMatrix): # DataFrame on the Scala/Java side. Then we map each Row in # the DataFrame back to a MatrixEntry on this side. entries_df = callMLlibFunc("getMatrixEntries", self._java_matrix_wrapper._java_model) - entries = entries_df.map(lambda row: MatrixEntry(row[0], row[1], row[2])) + entries = entries_df.rdd.map(lambda row: MatrixEntry(row[0], row[1], row[2])) return entries def numRows(self): @@ -700,7 +700,7 @@ class BlockMatrix(DistributedMatrix): # DataFrame on the Scala/Java side. Then we map each Row in # the DataFrame back to a sub-matrix block on this side. blocks_df = callMLlibFunc("getMatrixBlocks", self._java_matrix_wrapper._java_model) - blocks = blocks_df.map(lambda row: ((row[0][0], row[0][1]), row[1])) + blocks = blocks_df.rdd.map(lambda row: ((row[0][0], row[0][1]), row[1])) return blocks @property |