implicit class withStatsMultibandTileRDDMethods[K] extends StatsMultibandTileRDDMethods[K]
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- StatsMultibandTileRDDMethods
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Instance Constructors
- new withStatsMultibandTileRDDMethods(self: RDD[(K, MultibandTile)])(implicit keyClassTag: ClassTag[K])
Value Members
-
def
classBreaks(numBreaks: Int): Array[Array[Int]]
- Definition Classes
- StatsMultibandTileRDDMethods
-
def
classBreaksDouble(numBreaks: Int): Array[Array[Double]]
- Definition Classes
- StatsMultibandTileRDDMethods
-
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.
-
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
-
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
-
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.
- implicit val keyClassTag: ClassTag[K]
-
val
self: RDD[(K, MultibandTile)]
- Definition Classes
- withStatsMultibandTileRDDMethods → MethodExtensions