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kn_​example_​h2o_​sparkling_​water

Combine Big Data, Spark and H2O.ai Sparkling Water

- load data into (local) Big Data environment
- load data into Spark context
- load data into H2O.ai Sparkling Water context
- build H2O model in Big Data environment
- use H2O model
- check accuracy of model
- store model as MOJO file
- reuse stored model on ‚new‘ data with or without the sparkling water context




Combine Big Data, Spark and H2O.ai Sparkling Waterhttps://forum.knime.com/t/integrating-knime-with-bigdata-platform/18164/3?u=mlauber71 - load data into (local) Big Data environment- load data into Spark context- load data into H2O.ai Sparkling Water context- build H2O model in Big Data environment- use H2O model- check accuracy of model- store model as MOJO file- reuse stored model on ‚new‘ data with or without the sparkling water context H2O.ai Auto-machine-learning models with Spark train/testclean uplearn/big_data//data/=> will clear big_datafolderload datainto hivetabledefault.iris/data/my_model.zippredictscore newdata without H2Ocontext/data/my_model.zip1st cretae (empty)hive tableiris.tablesearch for the upload folder on the local big data system../big_data on MacOS and Linux..\big_data on Windows?learnAutoMLfor 120 secondsand LogLossor automatic stoppingpredict using Sparkling Watercontextconvert the modelto MOJO file/data/my_automl_model.zip/data/my_automl_model.zippredict using MOJO without explicitSparkling Water contexttestmy_automl_model_non_mojo.zipmy_automl_model_non_mojo.zip Create H2O SparklingWater Context H2O Partitioning H2O Model to MOJO H2O To Spark Spark Scorer Destroy SparkContext Hive to Spark H2O RandomForest Learner Spark to Table Column Rename DB Table Remover Create Local BigData Environment Metadata forBig Data DB Loader DB Table Selector Spark to H2O H2O MOJO Writer H2O Predictor(Classification) Spark H2O MOJO Predictor(Classification) H2O MOJO Reader DB Table Creator Table Reader determineupload path H2O AutoML Learner H2O Predictor(Classification) Spark Scorer H2O To Spark H2O Model to MOJO H2O MOJO Writer H2O MOJO Reader Spark H2O MOJO Predictor(Classification) H2O To Spark Spark Scorer Model Writer Model Reader Combine Big Data, Spark and H2O.ai Sparkling Waterhttps://forum.knime.com/t/integrating-knime-with-bigdata-platform/18164/3?u=mlauber71 - load data into (local) Big Data environment- load data into Spark context- load data into H2O.ai Sparkling Water context- build H2O model in Big Data environment- use H2O model- check accuracy of model- store model as MOJO file- reuse stored model on ‚new‘ data with or without the sparkling water context H2O.ai Auto-machine-learning models with Spark train/testclean uplearn/big_data//data/=> will clear big_datafolderload datainto hivetabledefault.iris/data/my_model.zippredictscore newdata without H2Ocontext/data/my_model.zip1st cretae (empty)hive tableiris.tablesearch for the upload folder on the local big data system../big_data on MacOS and Linux..\big_data on Windows?learnAutoMLfor 120 secondsand LogLossor automatic stoppingpredict using Sparkling Watercontextconvert the modelto MOJO file/data/my_automl_model.zip/data/my_automl_model.zippredict using MOJO without explicitSparkling Water contexttestmy_automl_model_non_mojo.zipmy_automl_model_non_mojo.zip Create H2O SparklingWater Context H2O Partitioning H2O Model to MOJO H2O To Spark Spark Scorer Destroy SparkContext Hive to Spark H2O RandomForest Learner Spark to Table Column Rename DB Table Remover Create Local BigData Environment Metadata forBig Data DB Loader DB Table Selector Spark to H2O H2O MOJO Writer H2O Predictor(Classification) Spark H2O MOJO Predictor(Classification) H2O MOJO Reader DB Table Creator Table Reader determineupload path H2O AutoML Learner H2O Predictor(Classification) Spark Scorer H2O To Spark H2O Model to MOJO H2O MOJO Writer H2O MOJO Reader Spark H2O MOJO Predictor(Classification) H2O To Spark Spark Scorer Model Writer Model Reader

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