Class

net.sansa_stack.rdf.spark.io

RDFSparseTensorReader

Related Doc: package io

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class RDFSparseTensorReader extends AnyRef

Created by nilesh Build an RDD of (s,p,o) coordinates, with integer IDs starting from 0 for representing URIs Needed for training ML models on knowledge graphs TODO docs

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Instance Constructors

  1. new RDFSparseTensorReader(spark: SparkSession, path: String)

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Value Members

  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. val entityIDs: RDD[(Node, Long)]

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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def getMappedTriples(): RDD[(Long, Long, Long)]

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  12. def getNumEntities: Long

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  13. def getNumRelations: Long

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. val relationIDs: RDD[(Node, Long)]

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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  24. final def wait(arg0: Long): Unit

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