net.sansa_stack.inference.spark.forwardchaining.triples
FixpointIteration
Companion trait FixpointIteration
object FixpointIteration extends Logging
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def
apply[T](maxIterations: Int = 10)(rdd: RDD[T], f: (RDD[T]) ⇒ RDD[T])(implicit arg0: ClassTag[T]): RDD[T]
Creates a new RDD by performing bulk iterations using the given step function
f.Creates a new RDD by performing bulk iterations using the given step function
f. The first RDD the step function returns is the input for the next iteration, the second RDD is the termination criterion. The iterations terminate when either the termination criterion RDD contains no elements or whenmaxIterationsiterations have been performed. -
def
apply2[T](maxIterations: Int = 10)(dataset: Dataset[T], f: (Dataset[T]) ⇒ Dataset[T])(implicit arg0: ClassTag[T]): Dataset[T]
Creates a new Dataset by performing bulk iterations using the given step function
f.Creates a new Dataset by performing bulk iterations using the given step function
f. The first Dataset the step function returns is the input for the next iteration, the second RDD is the termination criterion. The iterations terminate when either the termination criterion RDD contains no elements or whenmaxIterationsiterations have been performed. -
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