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https://issues.apache.org/jira/browse/SPARK-5713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-5713:
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Labels: bulk-closed (was: )
> Support python serialization for RandomForest
> ---------------------------------------------
>
> Key: SPARK-5713
> URL: https://issues.apache.org/jira/browse/SPARK-5713
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.2.0
> Environment: Tested on MacOS
> Reporter: Guillaume Charhon
> Priority: Major
> Labels: bulk-closed
>
> I was trying to pickle a trained ramdom forest model. Unfortunately, it is
> impossible to serialize the model for future use.
> model = RandomForest.trainRegressor(trainingData, categoricalFeaturesInfo={},
> numTrees=nb_tree,featureSubsetStrategy="auto", impurity='variance',
> maxDepth=depth)
> output = open('model.ml', 'wb')
> pickle.dump(model,output)
> I am getting this error:
> TypeError: can't pickle lock objects
> I am using Spark 1.2.0. I have also tested Spark 1.2.1
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