Create a new H2OFrame based on existing Frame referenced by its key.
Implicit conversion from Frame to DataFrame
Implicit conversion from Spark DataFrame to H2O's DataFrame
Transforms RDD[Supported type] to H2OFrame
Conversion from RDD[Boolean] to H2O's DataFrame
Returns key of the H2O's DataFrame conversed from RDD[Boolean]
Conversion from RDD[Double] to H2O's DataFrame
Returns key of the H2O's DataFrame conversed from RDD[Double]
Conversion from RDD[Long] to H2O's DataFrame
Returns key of the H2O's DataFrame conversed from RDD[Long]
Implicit conversion from RDD[Supported type] to H2OFrame
Conversion from RDD[String] to H2O's DataFrame
Returns key of the H2O's DataFrame conversed from RDD[String]
Convert given H2O frame into a Product RDD type
Get arguments for H2O client.
Produce arguments for H2O node based on this config.
Produce arguments for H2O node based on this config.
array of H2O launcher command line arguments
Open H2O Flow running in this client.
Initialize Sparkling H2O and start H2O cloud.
Stops H2O context.
Stops H2O context.
Calls System.exit() which kills executor JVM.
Transform given Scala symbol to String
Implicit conversion from Spark DataFrame to H2O's DataFrame
Transforms RDD[Supported type] to H2OFrame key
Implicit conversion from RDD[Supported type] to H2OFrame key
Convert given H2O frame into DataFrame type
Convert given H2O frame into DataFrame type
(Since version Use asDataFrame) 1.3
Initialize Sparkling H2O and start H2O cloud with specified number of workers.
Initialize Sparkling H2O and start H2O cloud with specified number of workers.
(Since version 1.5.11) Use start() method.
Convert given H2O frame into a RDD type
Convert given H2O frame into a RDD type
(Since version 0.2.3) Use asRDD instead
Simple H2O context motivated by SQLContext.
It provides implicit conversion from RDD -> H2OLikeRDD and back.