org.apache.spark.h2o

H2OContext

object H2OContext extends Logging with Serializable

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

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

    Definition Classes
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  3. final def ##(): Int

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

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

    Definition Classes
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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

    Definition Classes
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  9. def equals(arg0: Any): Boolean

    Definition Classes
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  10. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  12. def getOrCreate(sc: JavaSparkContext): H2OContext

    Supports call from java environments.

  13. def getOrCreate(sc: SparkContext): H2OContext

    Get existing H2O Context or initialize Sparkling H2O and start H2O cloud with default number of workers

    Get existing H2O Context or initialize Sparkling H2O and start H2O cloud with default number of workers

    sc

    Spark Context

    returns

    H2O Context

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  16. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  17. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  18. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  19. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  20. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  21. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  22. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  23. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  24. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  25. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  26. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  27. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  28. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  29. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  30. final def notify(): Unit

    Definition Classes
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  31. final def notifyAll(): Unit

    Definition Classes
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  32. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  33. def toH2OFrame(sc: SparkContext, rdd: SupportedRDD, frameKeyName: Option[String]): H2OFrame

    Transform supported type for conversion to H2OFrame

  34. def toH2OFrame[A <: Product](sc: SparkContext, rdd: RDD[A], frameKeyName: Option[String])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): H2OFrame

    Transform typed RDD into H2O Frame

  35. def toH2OFrame(sc: SparkContext, dataFrame: DataFrame, frameKeyName: Option[String]): H2OFrame

    Transform SchemaRDD into H2O Frame

  36. def toH2OFrameFromPureProduct(sc: SparkContext, rdd: RDD[Product], frameKeyName: Option[String]): H2OFrame

  37. def toH2OFrameFromRDDBool(sc: SparkContext, rdd: RDD[Boolean], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Double] to appropriate H2OFrame

  38. def toH2OFrameFromRDDByte(sc: SparkContext, rdd: RDD[Byte], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Byte] to appropriate H2OFrame

  39. def toH2OFrameFromRDDDouble(sc: SparkContext, rdd: RDD[Double], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Double] to appropriate H2OFrame

  40. def toH2OFrameFromRDDFloat(sc: SparkContext, rdd: RDD[Float], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Float] to appropriate H2OFrame

  41. def toH2OFrameFromRDDInt(sc: SparkContext, rdd: RDD[Int], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Int] to appropriate H2OFrame

  42. def toH2OFrameFromRDDLabeledPoint(sc: SparkContext, rdd: RDD[LabeledPoint], frameKeyName: Option[String]): H2OFrame

    Transform RDD[LabeledPoint] to appropriate H2OFrame

  43. def toH2OFrameFromRDDLong(sc: SparkContext, rdd: RDD[Long], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Long] to appropriate H2OFrame

  44. def toH2OFrameFromRDDShort(sc: SparkContext, rdd: RDD[Short], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Short] to appropriate H2OFrame

  45. def toH2OFrameFromRDDString(sc: SparkContext, rdd: RDD[String], frameKeyName: Option[String]): H2OFrame

    Transform RDD[String] to appropriate H2OFrame

  46. def toH2OFrameFromRDDTimeStamp(sc: SparkContext, rdd: RDD[Timestamp], frameKeyName: Option[String]): H2OFrame

    Transform RDD[Byte] to appropriate H2OFrame

  47. def toString(): String

    Definition Classes
    AnyRef → Any
  48. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  50. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )

Deprecated Value Members

  1. def getOrCreate(sc: JavaSparkContext, h2oWorkers: Int): H2OContext

    Supports call from java environments.

    Supports call from java environments.

    Annotations
    @deprecated
    Deprecated

    (Since version 1.5.11) Use getOrCreate(sc: JavaSparkContext) method.

  2. def getOrCreate(sc: SparkContext, h2oWorkers: Int): H2OContext

    Get existing H2O Context or initialize Sparkling H2O and start H2O cloud with specified number of workers

    Get existing H2O Context or initialize Sparkling H2O and start H2O cloud with specified number of workers

    sc

    Spark Context

    returns

    H2O Context

    Annotations
    @deprecated
    Deprecated

    (Since version 1.5.11) Use getOrCreate(sc: SparkContext) method.

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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