Class/Object

org.apache.spark.mllib.linalg

SparseVector

Related Docs: object SparseVector | package linalg

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class SparseVector extends Vector

A sparse vector represented by an index array and a 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])

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    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: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def apply(i: Int): Double

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    Gets the value of the ith element.

    Gets the value of the ith element.

    i

    index

    Definition Classes
    Vector
    Annotations
    @Since( "1.1.0" )
  5. def argmax: Int

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    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" )
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def asML: ml.linalg.SparseVector

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    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
    SparseVectorVector
    Annotations
    @Since( "2.0.0" )
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def compressed: Vector

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    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" )
  10. def copy: SparseVector

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    Makes a deep copy of this vector.

    Makes a deep copy of this vector.

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

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

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    Definition Classes
    SparseVectorVector → AnyRef → Any
  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. def foreachActive(f: (Int, Double) ⇒ Unit): Unit

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    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
    SparseVectorVector
    Annotations
    @Since( "1.6.0" )
  15. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int

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

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    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

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    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. final def notify(): Unit

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    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  22. def numActives: Int

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    Number of active entries.

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

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.4.0" )
    Note

    Inactive entries have value 0.

  23. def numNonzeros: Int

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    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

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    size of the vector.

    size of the vector.

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.0.0" )
  25. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  26. def toArray: Array[Double]

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    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

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    Converts this vector to a dense vector.

    Converts this vector to a dense vector.

    Definition Classes
    Vector
    Annotations
    @Since( "1.4.0" )
  28. def toJson: String

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    Converts the vector to a JSON string.

    Converts the vector to a JSON string.

    Definition Classes
    SparseVectorVector
    Annotations
    @Since( "1.6.0" )
  29. def toSparse: SparseVector

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    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( "1.4.0" )
  30. def toString(): String

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    Definition Classes
    SparseVector → AnyRef → Any
  31. val values: Array[Double]

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    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" )
  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Vector

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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