Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/6354#issuecomment-104635990
The serialization and deserialization works but trying to create a
DataFrame using a Matrix, gives me this error,
RuntimeError: maximum recursion depth exceeded in __instancecheck__
Code to replicate
from pyspark.mllib.linalg import DenseMatrix, SparseMatrix, MatrixUDT
dm1 = DenseMatrix(3, 2, [0, 1, 4, 5, 9, 10])
sm1 = SparseMatrix(1, 1, [0, 1], [0], [2.0])
rdd = sc.parallelize([("dense", dm1)])
rdd.toDF()
This fails with the above mentioned error.
cc @davies @rxin Any thoughts would be appreciated,,
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