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c

geotrellis.spark.summary.Implicits

withStatsMultibandTileRDDMethods

implicit class withStatsMultibandTileRDDMethods[K] extends StatsMultibandTileRDDMethods[K]

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  1. withStatsMultibandTileRDDMethods
  2. StatsMultibandTileRDDMethods
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Instance Constructors

  1. new withStatsMultibandTileRDDMethods(self: RDD[(K, MultibandTile)])(implicit keyClassTag: ClassTag[K])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def classBreaks(numBreaks: Int): Array[Array[Int]]
    Definition Classes
    StatsMultibandTileRDDMethods
  6. def classBreaksDouble(numBreaks: Int): Array[Array[Double]]
    Definition Classes
    StatsMultibandTileRDDMethods
  7. def classBreaksExactInt(numBreaks: Int): Array[Array[Int]]

    Gives class breaks using a histogram that uses exact counts of integer values.

    Gives class breaks using a histogram that uses exact counts of integer values.

    Definition Classes
    StatsMultibandTileRDDMethods
    Note

    This cannot handle counts that are larger than Int.MaxValue, and should not be used with very large datasets whose counts will overflow. These histograms can get very large with a wide range of values.

  8. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native()
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  10. def equals(arg0: Any): Boolean
    Definition Classes
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  11. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
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    @native()
  13. def hashCode(): Int
    Definition Classes
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    @native()
  14. def histogram(numBuckets: Int, fraction: Double = 1.0, seed: Long = 33): Array[Histogram[Double]]

    Compute the histogram of an RDD of MultibandTile objects.

    Compute the histogram of an RDD of MultibandTile objects.

    numBuckets

    The number of buckets that the histogram should have

    fraction

    The fraction of MultibandTile objects to sample (the default is 100%)

    seed

    The seed of the RNG which determines which tiles to take the histograms of

    returns

    A Histogram[Double]

    Definition Classes
    StatsMultibandTileRDDMethods
  15. def histogram(): Array[Histogram[Double]]

    Compute the histogram of an RDD of MultibandTile objects.

    Compute the histogram of an RDD of MultibandTile objects.

    returns

    A Histogram[Double]

    Definition Classes
    StatsMultibandTileRDDMethods
  16. def histogramExactInt: Array[Histogram[Int]]

    Gives a histogram that uses exact counts of integer values.

    Gives a histogram that uses exact counts of integer values.

    Definition Classes
    StatsMultibandTileRDDMethods
    Note

    This cannot handle counts that are larger than Int.MaxValue, and should not be used with very large datasets whose counts will overflow. These histograms can get very large with a wide range of values.

  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. implicit val keyClassTag: ClassTag[K]
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  20. final def notify(): Unit
    Definition Classes
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    @native()
  21. final def notifyAll(): Unit
    Definition Classes
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    @native()
  22. val self: RDD[(K, MultibandTile)]
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
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  25. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  27. final def wait(arg0: Long): Unit
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Inherited from StatsMultibandTileRDDMethods[K]

Inherited from MethodExtensions[RDD[(K, MultibandTile)]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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