Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5049#discussion_r26542049
--- Diff: python/pyspark/mllib/common.py ---
@@ -70,8 +70,8 @@ def _py2java(sc, obj):
obj = _to_java_object_rdd(obj)
elif isinstance(obj, SparkContext):
obj = obj._jsc
- elif isinstance(obj, list) and (obj or isinstance(obj[0], JavaObject)):
- obj = ListConverter().convert(obj, sc._gateway._gateway_client)
+ elif isinstance(obj, list):
+ obj = ListConverter().convert([_py2java(sc, x) for x in obj],
sc._gateway._gateway_client)
--- End diff --
@mengxr Let me guess, when I encounter an `Array[ndarray]`, this line of
code will try to translate the `ndarray` one by one. For each `ndarray`, the
`else` statement will be triggered, `PikleSerializer` will serialize the
`ndarray`, then the helper function in JVM will turn it back to `Vector`.
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