Peter Rudenko created SPARK-5804:
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Summary: Explicitly manage cache in Crossvalidation k-fold loop
Key: SPARK-5804
URL: https://issues.apache.org/jira/browse/SPARK-5804
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 1.3.0
Reporter: Peter Rudenko
Priority: Minor
On a big dataset explicitly unpersist train and validation folds allows to load
more data into memory in the next loop iteration. On my environment (single
node 8Gb worker RAM, 2 GB dataset file, 3 folds for cross validation), saved
more than 5 minutes.
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