Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/5173#discussion_r27267307
--- Diff: python/pyspark/mllib/classification.py ---
@@ -428,9 +428,10 @@ def save(self, sc, path):
def load(cls, sc, path):
java_model =
sc._jvm.org.apache.spark.mllib.classification.NaiveBayesModel.load(
sc._jsc.sc(), path)
- py_labels = _java2py(sc, java_model.labels())
- py_pi = _java2py(sc, java_model.pi())
- py_theta = _java2py(sc, java_model.theta())
+ # Can not unpickle array.array from Pyrolite in Python3 with
"bytes"
--- End diff --
I had not figured out a way to make Pyrolite compatible both Python 2 and 3.
Another option is to use "latin1" as encoding, then the serialization of
Vector will slow, because . the bytes will be converted into unicode, then
converted into bytes again.
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