object Vectors
Factory methods for org.apache.spark.ml.linalg.Vector.
We don't use the name Vector because Scala imports
scala.collection.immutable.Vector by default.
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- Vectors.scala
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def
dense(values: Array[Double]): Vector
Creates a dense vector from a double array.
Creates a dense vector from a double array.
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def
dense(firstValue: Double, otherValues: Double*): Vector
Creates a dense vector from its values.
Creates a dense vector from its values.
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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 Lp space.
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notify(): Unit
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notifyAll(): Unit
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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.
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- @Since( "2.0.0" )
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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.
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- @Since( "2.0.0" )
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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.
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- @Since( "2.0.0" )
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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.
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synchronized[T0](arg0: ⇒ T0): T0
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def
zeros(size: Int): Vector
Creates a vector of all zeros.
Creates a vector of all zeros.
- size
vector size
- returns
a zero vector
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