class RDDFunctions[T] extends Serializable
Machine learning specific RDD functions.
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def
sliding(windowSize: Int): RDD[Array[T]]
sliding(Int, Int)*
with step = 1. -
def
sliding(windowSize: Int, step: Int): RDD[Array[T]]
Returns an RDD from grouping items of its parent RDD in fixed size blocks by passing a sliding window over them.
Returns an RDD from grouping items of its parent RDD in fixed size blocks by passing a sliding window over them. The ordering is first based on the partition index and then the ordering of items within each partition. This is similar to sliding in Scala collections, except that it becomes an empty RDD if the window size is greater than the total number of items. It needs to trigger a Spark job if the parent RDD has more than one partitions and the window size is greater than 1.
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