Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/8643#discussion_r44207604
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -745,9 +749,8 @@ def load(cls, sc, path):
raise TypeError("sc should be a SparkContext, got type %s" %
type(sc))
if not isinstance(path, basestring):
raise TypeError("path should be a basestring, got type %s" %
type(path))
- java_model =
sc._jvm.org.apache.spark.mllib.clustering.DistributedLDAModel.load(
- sc._jsc.sc(), path)
- return cls(java_model)
+ wrapper_model = callMLlibFunc("loadLDAModel", sc, path)
--- End diff --
call it `model` for short
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