Packages

class SparseVector extends Vector

A sparse vector represented by an index array and a value array.

Annotations
@Since( "2.0.0" )
Source
Vectors.scala
Linear Supertypes
Vector, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SparseVector
  2. Vector
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SparseVector(size: Int, indices: Array[Int], values: Array[Double])

    size

    size of the vector.

    indices

    index array, assume to be strictly increasing.

    values

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

    Annotations
    @Since( "2.0.0" )

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(i: Int): Double

    Gets the value of the ith element.

    Gets the value of the ith element.

    i

    index

    Definition Classes
    SparseVector → Vector
  5. 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
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. 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( "2.0.0" )
  9. def copy: SparseVector

    Makes a deep copy of this vector.

    Makes a deep copy of this vector.

    Definition Classes
    SparseVector → Vector
  10. def dot(v: Vector): Double

    Calculate the dot product of this vector with another.

    Calculate the dot product of this vector with another.

    If size does not match an IllegalArgumentException is thrown.

    Definition Classes
    Vector
    Annotations
    @Since( "3.0.0" )
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(other: Any): Boolean
    Definition Classes
    SparseVector → Vector → AnyRef → Any
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. 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
    Vector
    Annotations
    @Since( "2.0.0" )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. 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
  17. val indices: Array[Int]
    Annotations
    @Since( "2.0.0" )
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. 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. Note that inactive entries have value 0.

    Definition Classes
    SparseVector → Vector
  23. def numNonzeros: Int

    Number of nonzero elements.

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

    Definition Classes
    SparseVector → Vector
  24. val size: Int

    Size of the vector.

    Size of the vector.

    Definition Classes
    SparseVector → Vector
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def toArray: Array[Double]

    Converts the instance to a double array.

    Converts the instance to a double array.

    Definition Classes
    SparseVector → Vector
  27. def toDense: DenseVector

    Converts this vector to a dense vector.

    Converts this vector to a dense vector.

    Definition Classes
    Vector
    Annotations
    @Since( "2.0.0" )
  28. 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
    Vector
    Annotations
    @Since( "2.0.0" )
  29. def toString(): String
    Definition Classes
    SparseVector → AnyRef → Any
  30. val values: Array[Double]
    Annotations
    @Since( "2.0.0" )
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Vector

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members