[SPARK-20861][ML][PYTHON] Delegate looping over paramMaps to estimators #18077
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…TrainValidationSplit.
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@jkbradley can you take a look at this. |
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Test build #77267 has finished for PR 18077 at commit
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MrBago
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@MrBago Can you please add the tags "[ML][PYTHON]" to the title? |
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Other than the tags, this LGTM |
MrBago
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Merging with master and branch-2.2 which means this will get into 2.2.0 |
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Changes: pyspark.ml Estimators can take either a list of param maps or a dict of params. This change allows the CrossValidator and TrainValidationSplit Estimators to pass through lists of param maps to the underlying estimators so that those estimators can handle parallelization when appropriate (eg distributed hyper parameter tuning). Testing: Existing unit tests. Author: Bago Amirbekian <bago@databricks.com> Closes #18077 from MrBago/delegate_params. (cherry picked from commit 9434280) Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
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Changes:
pyspark.ml Estimators can take either a list of param maps or a dict of params. This change allows the CrossValidator and TrainValidationSplit Estimators to pass through lists of param maps to the underlying estimators so that those estimators can handle parallelization when appropriate (eg distributed hyper parameter tuning).
Testing:
Existing unit tests.