FeatureVector

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. implicit val CanMulCSCFV_Double: linalg.operators.OpMulMatrix.Impl2[CSCMatrix[Double], FeatureVector, SparseVector[Double]]

   

5. implicit val CanMulCSCFV_Float: linalg.operators.OpMulMatrix.Impl2[CSCMatrix[Float], FeatureVector, SparseVector[Float]]

   

6. implicit val CanMulCSCFV_Int: linalg.operators.OpMulMatrix.Impl2[CSCMatrix[Int], FeatureVector, SparseVector[Int]]

   

7. implicit val CanMulDMFV_Double: linalg.operators.OpMulMatrix.Impl2[DenseMatrix[Double], FeatureVector, DenseVector[Double]]

   

8. implicit val CanMulDMFV_Float: linalg.operators.OpMulMatrix.Impl2[DenseMatrix[Float], FeatureVector, DenseVector[Float]]

   

9. implicit val CanMulDMFV_Int: linalg.operators.OpMulMatrix.Impl2[DenseMatrix[Int], FeatureVector, DenseVector[Int]]

   

10. implicit val DotProductFVDV_Double: linalg.operators.OpMulInner.Impl2[FeatureVector, DenseVector[Double], Double]

    

11. implicit val DotProductFVDV_Float: linalg.operators.OpMulInner.Impl2[FeatureVector, DenseVector[Float], Float]

    

12. implicit val DotProductFVDV_Int: linalg.operators.OpMulInner.Impl2[FeatureVector, DenseVector[Int], Int]

    

13. implicit val DotProductFVV_Double: BinaryRegistry[FeatureVector, Vector[Double], OpMulInner.type, Double]

    

14. implicit val DotProductFVV_Float: BinaryRegistry[FeatureVector, Vector[Float], OpMulInner.type, Float]

    

15. implicit val DotProductFVV_Int: BinaryRegistry[FeatureVector, Vector[Int], OpMulInner.type, Int]

    

16. implicit val FVCanDaxpyIntoVB_Double: InPlaceImpl3[scaleAdd.type, VectorBuilder[Double], Double, FeatureVector]

    

17. implicit val FVCanDaxpyIntoVB_Float: InPlaceImpl3[scaleAdd.type, VectorBuilder[Float], Float, FeatureVector]

    

18. implicit def FVCanDaxpyIntoVB_Generic[T]: InPlaceImpl3[scaleAdd.type, VectorBuilder[T], T, FeatureVector]

    

19. implicit val FVScaleAddIntoDV_Double: linalg.scaleAdd.InPlaceImpl3[DenseVector[Double], Double, FeatureVector]

    

20. implicit val FVScaleAddIntoDV_Float: linalg.scaleAdd.InPlaceImpl3[DenseVector[Float], Float, FeatureVector]

    

21. implicit val FVScaleAddIntoDV_Int: linalg.scaleAdd.InPlaceImpl3[DenseVector[Int], Int, FeatureVector]

    

22. implicit val FVScaleAddIntoSV_Double: linalg.scaleAdd.InPlaceImpl3[SparseVector[Double], Double, FeatureVector]

    

23. implicit val FVScaleAddIntoSV_Float: linalg.scaleAdd.InPlaceImpl3[SparseVector[Float], Float, FeatureVector]

    

24. implicit val FVScaleAddIntoSV_Int: linalg.scaleAdd.InPlaceImpl3[SparseVector[Int], Int, FeatureVector]

    

25. implicit val FVScaleAddIntoV_Double: TernaryUpdateRegistry[Vector[Double], Double, FeatureVector, scaleAdd.type]

    

26. implicit val FVScaleAddIntoV_Float: TernaryUpdateRegistry[Vector[Float], Float, FeatureVector, scaleAdd.type]

    

27. implicit val FVScaleAddIntoV_Int: TernaryUpdateRegistry[Vector[Int], Int, FeatureVector, scaleAdd.type]

    

28. object Implicits

    

29. implicit object TransposeFV extends CanTranspose[FeatureVector, Transpose[FeatureVector]]

    

30. def apply(ints: Int*): FeatureVector

    

31. final def asInstanceOf[T0]: T0

    

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32. def clone(): AnyRef

    

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33. implicit def dotProductVxFVfromFVxV[V, T](implicit op: linalg.operators.OpMulInner.Impl2[FeatureVector, V, T]): linalg.operators.OpMulInner.Impl2[V, FeatureVector, T]

    

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

    

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35. def equals(arg0: Any): Boolean

    

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36. def finalize(): Unit

    

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

    

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38. def hashCode(): Int

    

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39. final def isInstanceOf[T0]: Boolean

    

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40. implicit def mulMatrixTrans[M, MTrans, MulResult, MRTrans](implicit trans: CanTranspose[M, MTrans], mul: linalg.operators.OpMulMatrix.Impl2[MTrans, FeatureVector, MulResult], mrTrans: CanTranspose[MulResult, MRTrans]): linalg.operators.OpMulMatrix.Impl2[Transpose[FeatureVector], M, MRTrans]

    

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

    

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42. final def notify(): Unit

    

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43. final def notifyAll(): Unit

    

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44. implicit def opAddIntoFromAxpy[V, T](implicit op: linalg.scaleAdd.InPlaceImpl3[V, T, FeatureVector], semiring: Semiring[T]): linalg.operators.OpAdd.InPlaceImpl2[V, FeatureVector]

    

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

    

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46. def toString(): String

    

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47. final def wait(): Unit

    

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

    

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

    

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