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authormartinzapletal <zapletal-martin@email.cz>2015-07-22 17:35:05 -0700
committerXiangrui Meng <meng@databricks.com>2015-07-22 17:35:05 -0700
commita721ee52705100dbd7852f80f92cde4375517e48 (patch)
treee740229cb98e94bc43bc08bdceea4f5085aa15fb /project/SparkBuild.scala
parent5307c9d3f7a35c0276b72e743e3a62a44d2bd0f5 (diff)
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[SPARK-8484] [ML] Added TrainValidationSplit for hyper-parameter tuning.
- [X] Added TrainValidationSplit for hyper-parameter tuning. It randomly splits the input dataset into train and validation and use evaluation metric on the validation set to select the best model. It should be similar to CrossValidator, but simpler and less expensive. - [X] Simplified replacement of https://github.com/apache/spark/pull/6996 Author: martinzapletal <zapletal-martin@email.cz> Closes #7337 from zapletal-martin/SPARK-8484-TrainValidationSplit and squashes the following commits: cafc949 [martinzapletal] Review comments https://github.com/apache/spark/pull/7337. 511b398 [martinzapletal] Merge remote-tracking branch 'upstream/master' into SPARK-8484-TrainValidationSplit f4fc9c4 [martinzapletal] SPARK-8484 Resolved feedback to https://github.com/apache/spark/pull/7337 00c4f5a [martinzapletal] SPARK-8484. Styling. d699506 [martinzapletal] SPARK-8484. Styling. 93ed2ee [martinzapletal] Styling. 3bc1853 [martinzapletal] SPARK-8484. Styling. 2aa6f43 [martinzapletal] SPARK-8484. Added TrainValidationSplit for hyper-parameter tuning. It randomly splits the input dataset into train and validation and use evaluation metric on the validation set to select the best model. 21662eb [martinzapletal] SPARK-8484. Added TrainValidationSplit for hyper-parameter tuning. It randomly splits the input dataset into train and validation and use evaluation metric on the validation set to select the best model.
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