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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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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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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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8.  def finalize(): Unit

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9.  final def getClass(): Class[_]

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10.  def hashCode(): Int

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11.  final def isInstanceOf[T0]: Boolean

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12.  final def ne(arg0: AnyRef): Boolean

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13.  final def notify(): Unit

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14.  final def notifyAll(): Unit

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

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16.  def tdigestArrayReduceUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of t-digest arrays into a single t-digest array.

    Obtain a UDF, usable with DataFrames, for aggregating a column of t-digest arrays into a single t-digest array.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

17.  def tdigestDoubleArrayUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of double arrays with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of double arrays with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

18.  def tdigestDoubleUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of double values with a t-digest.

    Obtain a UDF, usable with DataFrames, for aggregating a column of double values with a t-digest.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

19.  def tdigestFloatArrayUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of float arrays with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of float arrays with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

20.  def tdigestFloatUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of float values with a t-digest.

    Obtain a UDF, usable with DataFrames, for aggregating a column of float values with a t-digest.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

21.  def tdigestIntArrayUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of integer arrays with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of integer arrays with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

22.  def tdigestIntUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of integer values with a t-digest.

    Obtain a UDF, usable with DataFrames, for aggregating a column of integer values with a t-digest.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

23.  def tdigestLongArrayUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of long-integer arrays with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of long-integer arrays with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

24.  def tdigestLongUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of long-integer values with a t-digest.

    Obtain a UDF, usable with DataFrames, for aggregating a column of long-integer values with a t-digest.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

25.  def tdigestMLLibVecUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of MLLib Vectors with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of MLLib Vectors with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

26.  def tdigestMLVecUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of ML Vectors with an array of t-digests.

    Obtain a UDF, usable with DataFrames, for aggregating a column of ML Vectors with an array of t-digests.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

27.  def tdigestReduceUDF(compression: Double, maxDiscrete: Int): UserDefinedFunction

    Obtain a UDF, usable with DataFrames, for aggregating a column of t-digests into a single t-digest.

    Obtain a UDF, usable with DataFrames, for aggregating a column of t-digests into a single t-digest.

    compression

    the t-digest compression parameter.

    maxDiscrete

    maximum number of discrete values to track in PMF mode.

    returns

    the new aggregating UDF

28.  def toString(): String

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29.  final def wait(): Unit

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

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31.  final def wait(arg0: Long): Unit

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