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object SparseVectorD extends Serializable

The SparseVectorD object is the companion object for the SparseVectorD class.

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  1. SparseVectorD
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Type Members

  1. type RowMap = SortedLinkedHashMap[Int, Double]

    Shorthand type definition for sparse vector

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ++(b: Double, u: SparseVectorD): SparseVectorD

    Concatenate scalar 'b' and vector 'u'.

    Concatenate scalar 'b' and vector 'u'.

    b

    the scalar to be concatenated - first part

    u

    the vector to be concatenated - second part

  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def apply(xs: Array[String], skip: Int): SparseVectorD

    Create a SparseVectorD from an array of Strings, skipping the first 'skip' elements.

    Create a SparseVectorD from an array of Strings, skipping the first 'skip' elements. If an element is non-numeric, use its hashcode. FIX: Might be better to map non-numeric Strings to ordinal values.

    xs

    the array of the Strings

    skip

    the number of elements at the beginning to skip (e.g., id column)

  6. def apply(xs: Array[String]): SparseVectorD

    Create a SparseVectorD from an array of Strings.

    Create a SparseVectorD from an array of Strings.

    xs

    the array of the Strings

  7. def apply(x: String, xs: String*): SparseVectorD

    Create a SparseVectorD from one or more values (repeated values String*).

    Create a SparseVectorD from one or more values (repeated values String*).

    x

    the first String

    xs

    the rest of the Strings

  8. def apply(xs: Seq[Double]): SparseVectorD

    Create a SparseVectorD from a sequence of Doubles.

    Create a SparseVectorD from a sequence of Doubles.

    xs

    the sequence of the Double numbers

  9. def apply(x: Double, xs: Double*): SparseVectorD

    Create a SparseVectorD from one or more values (repeated values Double*).

    Create a SparseVectorD from one or more values (repeated values Double*).

    x

    the first Double number

    xs

    the rest of the Double numbers

  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  21. def range(start: Int, end: Int): SparseVectorD

    Return a SparseVectorD containing a sequence of increasing integers in a range.

    Return a SparseVectorD containing a sequence of increasing integers in a range.

    start

    the start value of the vector, inclusive

    end

    the end value of the vector, exclusive (i.e., the first value not returned)

  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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