H2O and Spark configuration
Convert given H2O frame into DataFrame type
Create a new H2OFrame based on existing Frame
Create a new H2OFrame based on existing Frame referenced by its key.
Transforms Dataset[Supported type] to H2OFrame
Transform DataFrame to H2OFrame
Transforms RDD[Supported type] to H2OFrame
A generic convert of Frame into Product RDD type
Convert given H2O frame into a Product RDD type
directory where the logs will be downloaded
Return a copy of this H2OContext's configuration.
Returns location of REST API of H2O client
Returns IP of H2O client
Returns port where H2O REST API is exposed
Runtime list of active H2O nodes
Define implicits available via h2oContext.implicits._
This method connects to external H2O cluster if spark.ext.h2o.externalClusterMode is set to true, otherwise it creates new H2O cluster living in Spark
Checks whether version of provided Spark is the same as Spark's version designated for this Sparkling Water version.
Return true if running inside spark/sparkling water test.
true if the actual run is test run
Open H2O Flow running in this client.
Open browser for given address.
address to open in browser, e.g., http://example.com
Set log level for the client running in driver
Set H2O log level for the client and all executors
Set log level for all H2O services running on executors
Stops H2O context.
stop also spark context
Transforms Dataset[Supported type] to H2OFrame key
Transform DataFrame to H2OFrame key
Transforms RDD[Supported type] to H2OFrame key