Trait

org.apache.spark.h2o.converters.WriteConverterCtxUtils

Converter

Related Doc: package WriteConverterCtxUtils

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trait Converter extends AnyRef

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Abstract Value Members

  1. abstract def convert[T](hc: H2OContext, rddInput: RDD[T], keyName: String, colNames: Array[String], expectedTypes: Array[Byte], maxVecSizes: Array[Int], sparse: Array[Boolean], func: ConversionFunction[T])(implicit arg0: ClassTag[T], arg1: scala.reflect.api.JavaUniverse.TypeTag[T]): String

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    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

    rddInput

    rdd to convert

    keyName

    key of the resulting frame

    colNames

    names of the columns in the H2O Frame

    expectedTypes

    expected types of the vectors in the H2O Frame

    sparse

    if at least one column in the dataset is sparse

    func

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

    returns

    H2O Frame

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  8. def finalize(): Unit

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

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  10. def getNonEmptyPartitions[T](rdd: RDD[T]): Seq[Int]

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  11. def hashCode(): Int

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

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