Class

edu.cmu.ml.rtw.pra.graphs

GraphDensifier

Related Doc: package graphs

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class GraphDensifier extends AnyRef

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Instance Constructors

  1. new GraphDensifier(praBase: String, graphDir: String, name: String, outputter: Outputter, fileUtil: FileUtil = new FileUtil)

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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. def createSparseVector(relations: Set[Int]): SparseVector[Double]

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  7. def densifyGraph(params: JValue): Unit

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  8. val edge_dict: MutableConcurrentDictionary

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  9. def emptyMatrixBuilder(): Builder[Double]

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. implicit val formats: DefaultFormats.type

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

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  15. def getNameFromEmbeddings(params: JValue): String

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  16. def getSimilarityMatrixFile(params: JValue): String

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  17. def getTestEdges(graph_dir: String, split_name: String, metadata: String): Set[(Int, Int, Int)]

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  18. def hashCode(): Int

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  19. val inProgressFile: String

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  20. final def isInstanceOf[T0]: Boolean

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  21. val matrixDir: String

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  22. val maxMatrixFileSize: Int

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

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  24. val node_dict: MutableConcurrentDictionary

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  25. final def notify(): Unit

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  26. final def notifyAll(): Unit

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  27. val paramFile: String

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  28. def readGraphEdges(edge_file: String, test_edges: Set[(Int, Int, Int)]): Map[(Int, Int), SparseVector[Double]]

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  29. def readSimilarityMatrix(filename: String): CSCMatrix[Double]

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

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  31. def toString(): String

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  32. final def wait(): Unit

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

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

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  35. def writeEdgesSoFar(_start_relation: Int, end_relation: Int, edges_to_write: Seq[Set[(Int, Int, Double)]]): Unit

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