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  1. SW-818

Spark Pipeline imports do not work in PySparkling

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.1.27, 2.2.13, 2.3.2
    • Component/s: None
    • Labels:
      None
    • CustomerVisible:
      No
    • Sprint:

      Description

      Traceback (most recent call last):
        File "<stdin>", line 1, in <module>
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/util.py", line 311, in load
          return cls.read().load(path)
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/pipeline.py", line 207, in load
          return JavaMLReader(self.cls).load(path)
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/util.py", line 253, in load
          return self._clazz._from_java(java_obj)
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/pipeline.py", line 154, in _from_java
          py_stages = [JavaParams._from_java(s) for s in java_stage.getStages()]
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/wrapper.py", line 220, in _from_java
          py_type = __get_class(stage_name)
        File "/Users/kuba/devel/programs/spark-2.3.0-bin-hadoop2.7/python/pyspark/ml/wrapper.py", line 214, in __get_class
          m = __import__(module)
      ImportError: No module named h2o.algos
      
      

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            • Assignee:
              Kuba Jakub Hava
              Reporter:
              Kuba Jakub Hava
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              Dates

              • Created:
                Updated:
                Resolved: