SparkDataFrameConverter

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. def convert[T](hc: H2OContext, rdd: RDD[T], keyName: String, colNames: Array[String], vecTypes: Array[Byte], func: (String, Array[Byte], Option[Map[Int, NodeDesc]]) ⇒ (TaskContext, Iterator[T]) ⇒ (Int, Long)): water.fvec.H2OFrame

   Converts the RDD to H2O Frame using specified conversion function

   Converts the RDD to H2O Frame using specified conversion function

   T

   type of RDD to convert

   hc

   H2O context

   rdd

   rdd to convert

   keyName

   key of the resulting frame

   colNames

   names of the columns in the H2O Frame

   vecTypes

   types of the vectors in the H2O Frame

   func

   conversion function - the function takes parameters needed extra by specific transformations and returns function which does the general transformation

   returns

   H2O Frame

   Definition Classes

   ConverterUtils

9. final def eq(arg0: AnyRef): Boolean

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10. def equals(arg0: Any): Boolean

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11. def finalize(): Unit

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12. def finalizeFrame[T](keyName: String, res: Array[Long], colTypes: Array[Byte], colDomains: Array[Array[String]] = null): Frame

    Definition Classes

    ConverterUtils

13. final def getClass(): Class[_]

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14. def getFrameOrNone(keyName: String): Option[H2OFrame]

    Gets frame for specified key or none if that frame does not exist

    Gets frame for specified key or none if that frame does not exist

    keyName

    key of the requested frame

    returns

    option containing frame or none

    Definition Classes

    ConverterUtils

15. def hashCode(): Int

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16. def initFrame[T](keyName: String, names: Array[String]): Unit

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    ConverterUtils

17. final def isInstanceOf[T0]: Boolean

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18. def isTraceEnabled(): Boolean

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19. def log: Logger

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20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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21. def logDebug(msg: ⇒ String): Unit

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22. def logError(msg: ⇒ String, throwable: Throwable): Unit

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23. def logError(msg: ⇒ String): Unit

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24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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25. def logInfo(msg: ⇒ String): Unit

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26. def logName: String

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27. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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28. def logTrace(msg: ⇒ String): Unit

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29. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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30. def logWarning(msg: ⇒ String): Unit

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31. final def ne(arg0: AnyRef): Boolean

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32. final def notify(): Unit

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33. final def notifyAll(): Unit

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34. final def synchronized[T0](arg0: ⇒ T0): T0

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35. def toDataFrame[T <: water.fvec.Frame](hc: H2OContext, fr: T, copyMetadata: Boolean)(implicit sqlContext: SQLContext): DataFrame

    Create a Spark DataFrame from given H2O frame.

    Create a Spark DataFrame from given H2O frame.

    T

    type of H2O frame

    hc

    an instance of H2O context

    fr

    an instance of H2O frame

    copyMetadata

    copy H2O metadata into Spark DataFrame

    sqlContext

    running sqlContext

    returns

    a new DataFrame definition using given H2OFrame as data source

36. def toH2OFrame(hc: H2OContext, dataFrame: DataFrame, frameKeyName: Option[String]): water.fvec.H2OFrame

    Transform Spark's DataFrame into H2O Frame

37. def toString(): String

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38. final def wait(): Unit

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39. final def wait(arg0: Long, arg1: Int): Unit

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40. final def wait(arg0: Long): Unit

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