SparseVector

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. def apply(i: Int): Double

   Gets the value of the ith element.

   Gets the value of the ith element.

   i

   index

   Definition Classes

   Vector

   Annotations

   @Since( "1.1.0" )

7. def argmax: Int

   Find the index of a maximal element.

   Find the index of a maximal element. Returns the first maximal element in case of a tie. Returns -1 if vector has length 0.

   Definition Classes

   SparseVector → Vector

   Annotations

   @Since( "1.5.0" )

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

9. def asML: ml.linalg.SparseVector

   Convert this vector to the new mllib-local representation.

   Convert this vector to the new mllib-local representation. This does NOT copy the data; it copies references.

   Definition Classes

   SparseVector → Vector

   Annotations

   @Since( "2.0.0" )

10. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

11. def compressed: Vector

    Returns a vector in either dense or sparse format, whichever uses less storage.

    Returns a vector in either dense or sparse format, whichever uses less storage.

    Definition Classes

    Vector

    Annotations

    @Since( "1.4.0" )

12. def copy: SparseVector

    Makes a deep copy of this vector.

    Makes a deep copy of this vector.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.1.0" )

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

    Definition Classes

    AnyRef

14. def equals(other: Any): Boolean

    Definition Classes

    SparseVector → Vector → AnyRef → Any

15. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

16. def foreachActive(f: (Int, Double) ⇒ Unit): Unit

    Applies a function f to all the active elements of dense and sparse vector.

    Applies a function f to all the active elements of dense and sparse vector.

    f

    the function takes two parameters where the first parameter is the index of the vector with type Int, and the second parameter is the corresponding value with type Double.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.6.0" )

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

    Definition Classes

    AnyRef → Any

18. def hashCode(): Int

    Returns a hash code value for the vector.

    Returns a hash code value for the vector. The hash code is based on its size and its first 128 nonzero entries, using a hash algorithm similar to java.util.Arrays.hashCode.

    Definition Classes

    SparseVector → Vector → AnyRef → Any

19. val indices: Array[Int]

    index array, assume to be strictly increasing.

    index array, assume to be strictly increasing.

    Annotations

    @Since( "1.0.0" )

20. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

22. final def notify(): Unit

    Definition Classes

    AnyRef

23. final def notifyAll(): Unit

    Definition Classes

    AnyRef

24. def numActives: Int

    Number of active entries.

    Number of active entries. An "active entry" is an element which is explicitly stored, regardless of its value.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.4.0" )

    Note

    Inactive entries have value 0.

25. def numNonzeros: Int

    Number of nonzero elements.

    Number of nonzero elements. This scans all active values and count nonzeros.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.4.0" )

26. val size: Int

    size of the vector.

    size of the vector.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.0.0" )

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

    Definition Classes

    AnyRef

28. def toArray: Array[Double]

    Converts the instance to a double array.

    Converts the instance to a double array.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.0.0" )

29. def toDense: DenseVector

    Converts this vector to a dense vector.

    Converts this vector to a dense vector.

    Definition Classes

    Vector

    Annotations

    @Since( "1.4.0" )

30. def toJson: String

    Converts the vector to a JSON string.

    Converts the vector to a JSON string.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.6.0" )

31. def toSparse: SparseVector

    Converts this vector to a sparse vector with all explicit zeros removed.

    Converts this vector to a sparse vector with all explicit zeros removed.

    Definition Classes

    SparseVector → Vector

    Annotations

    @Since( "1.4.0" )

32. def toString(): String

    Definition Classes

    SparseVector → AnyRef → Any

33. val values: Array[Double]

    value array, must have the same length as the index array.

    value array, must have the same length as the index array.

    Annotations

    @Since( "1.0.0" )

34. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )