org.apache.spark.mllib.linalg

SparseVector

class SparseVector extends Vector

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

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.

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  9. def equals(other: Any): Boolean

    Definition Classes
    Vector → AnyRef → Any

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    Vector → AnyRef → Any

  13. val indices: Array[Int]

    index array, assume to be strictly increasing.

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. val size: Int

    size of the vector.

    size of the vector.

    Definition Classes
    SparseVector → Vector

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

    Definition Classes
    AnyRef

  20. def toArray: Array[Double]

    Converts the instance to a double array.

    Converts the instance to a double array.

    Definition Classes
    SparseVector → Vector

  21. def toString(): String

    Definition Classes
    SparseVector → AnyRef → Any

  22. val values: Array[Double]

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

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  25. 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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