Vectors

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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   protected[java.lang]

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6. def dense(values: Array[Double]): Vector

   

   Creates a dense vector from a double array.

   Creates a dense vector from a double array.

   Annotations

   @Since( "1.0.0" )

7. def dense(firstValue: Double, otherValues: Double*): Vector

   

   Creates a dense vector from its values.

   Creates a dense vector from its values.

   Annotations

   @Since( "1.0.0" ) @varargs()

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

11. def fromJson(json: String): Vector

    

    Parses the JSON representation of a vector into a Vector.

    Parses the JSON representation of a vector into a Vector.

    Annotations

    @Since( "1.6.0" )

12. def fromML(v: ml.linalg.Vector): Vector

    

    Convert new linalg type to spark.mllib type.

    Convert new linalg type to spark.mllib type. Light copy; only copies references

    Annotations

    @Since( "2.0.0" )

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

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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

    

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17. def norm(vector: Vector, p: Double): Double

    

    Returns the p-norm of this vector.

    Returns the p-norm of this vector.

    vector

    input vector.

    p

    norm.

    returns

    norm in L^p space.

    Annotations

    @Since( "1.3.0" )

18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. def parse(s: String): Vector

    

    Parses a string resulted from Vector.toString into a Vector.

    Parses a string resulted from Vector.toString into a Vector.

    Annotations

    @Since( "1.1.0" )

21. def sparse(size: Int, elements: Iterable[(Integer, Double)]): Vector

    

    Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.

    Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.

    size

    vector size.

    elements

    vector elements in (index, value) pairs.

    Annotations

    @Since( "1.0.0" )

22. def sparse(size: Int, elements: Seq[(Int, Double)]): Vector

    

    Creates a sparse vector using unordered (index, value) pairs.

    Creates a sparse vector using unordered (index, value) pairs.

    size

    vector size.

    elements

    vector elements in (index, value) pairs.

    Annotations

    @Since( "1.0.0" )

23. def sparse(size: Int, indices: Array[Int], values: Array[Double]): Vector

    

    Creates a sparse vector providing its index array and value array.

    Creates a sparse vector providing its index array and value array.

    size

    vector size.

    indices

    index array, must be strictly increasing.

    values

    value array, must have the same length as indices.

    Annotations

    @Since( "1.0.0" )

24. def sqdist(v1: Vector, v2: Vector): Double

    

    Returns the squared distance between two Vectors.

    Returns the squared distance between two Vectors.

    v1

    first Vector.

    v2

    second Vector.

    returns

    squared distance between two Vectors.

    Annotations

    @Since( "1.3.0" )

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

    

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26. def toString(): String

    

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27. final def wait(): Unit

    

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

    

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29. final def wait(arg0: Long): Unit

    

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30. def zeros(size: Int): Vector

    

    Creates a vector of all zeros.

    Creates a vector of all zeros.

    size

    vector size

    returns

    a zero vector

    Annotations

    @Since( "1.1.0" )