serializeToBundle object issue
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, spark
- Domain
- data-engineering, documentation
Research direction
Start by reproducing the Python pipeline calls to serializeToBundle and the SimpleSparkSerializer initialization shown in the issue. Review the surrounding comment thread for the supported MLeap/Spark setup and document the correct invocation and dependency guidance once the example works.
Written by the indexing model from the issue text.
Description
If running the code as above, there's an issue with featurePipeline.serializeToBundle("jar:file:/tmp/pyspark.example.zip"). AttributeError: 'Pipeline' object has no attribute 'serializeToBundle'.
If use the following code:
featurePipeline2 = featurePipeline.fit(df2)
featurePipeline2.serializeToBundle("jar:file:/tmp/pyspark.example.zip")
There is an error with self._java_obj = _jvm().ml.combust.mleap.spark.SimpleSparkSerializer(), saying "TypeError: 'JavaPackage' object is not callable"
How to solve it?
- Dominant language
- Shell
- Stars
- 15
- Forks
- 21
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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