org.apache.spark.mllib.linalg

SparseVector

class SparseVector extends Vector

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

Annotations
@Since( "1.0.0" ) @SQLUserDefinedType()
Linear Supertypes
Vector, Serializable, Serializable, AnyRef, Any
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  1. SparseVector
  2. Vector
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  4. Serializable
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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( "1.0.0" )

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
    SparseVectorVector
    Annotations
    @Since( "1.5.0" )
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. 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" )
  11. def copy: SparseVector

    Makes a deep copy of this vector.

    Makes a deep copy of this vector.

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.1.0" )
  12. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  13. def equals(other: Any): Boolean

    Definition Classes
    Vector → 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

    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 nonzeros in the first 16 entries, using a hash algorithm similar to java.util.Arrays.hashCode.

    Definition Classes
    SparseVectorVector → AnyRef → Any
  17. val indices: Array[Int]

    index array, assume to be strictly increasing.

    index array, assume to be strictly increasing.

    Annotations
    @Since( "1.0.0" )
  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
  21. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  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
    SparseVectorVector
    Annotations
    @Since( "1.4.0" )
  23. def numNonzeros: Int

    Number of nonzero elements.

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

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.4.0" )
  24. val size: Int

    size of the vector.

    size of the vector.

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.0.0" )
  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
    SparseVectorVector
    Annotations
    @Since( "1.0.0" )
  27. 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" )
  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
    SparseVectorVector
    Annotations
    @Since( "1.4.0" )
  29. def toString(): String

    Definition Classes
    SparseVector → AnyRef → Any
  30. 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" )
  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( ... )

Inherited from Vector

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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