SparkDataFrameConverter

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

   

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2. final def ##(): Int

   

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

   

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

   

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7. def equals(arg0: Any): Boolean

   

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

   

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10. def hashCode(): Int

    

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11. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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12. final def isInstanceOf[T0]: Boolean

    

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13. def isTraceEnabled(): Boolean

    

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14. def log: Logger

    

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

    

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16. def logDebug(msg: ⇒ String): Unit

    

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

    

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18. def logError(msg: ⇒ String): Unit

    

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

    

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20. def logInfo(msg: ⇒ String): Unit

    

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21. def logName: String

    

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

    

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23. def logTrace(msg: ⇒ String): Unit

    

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

    

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

    

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27. final def notify(): Unit

    

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28. final def notifyAll(): Unit

    

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

    

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30. def toDataFrame(hc: H2OContext, fr: H2OFrame, copyMetadata: Boolean): DataFrame

    

    Create a Spark DataFrame from a given REST-based H2O frame.

    Create a Spark DataFrame from a given REST-based H2O frame.

    hc

    an instance of H2O context

    fr

    an instance of H2O frame

    copyMetadata

    copy H2O metadata into Spark DataFrame

    returns

    a new DataFrame definition using given H2OFrame as data source

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

    

32. def toString(): String

    

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33. final def wait(): Unit

    

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

    

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

    

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