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Showing content from http://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/linalg/SparseVector.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.ml.linalg.SparseVector

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2. By Inheritance

1. SparseVector
2. Vector
3. Serializable
4. AnyRef
5. Any

1. Public
2. Protected

1.  new SparseVector(size: Int, indices: Array[Int], values: Array[Double])

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def ==(arg0: Any): Boolean
4.  def apply(i: Int): Double
5.  def argmax: Int
6.  final def asInstanceOf[T0]: T0
7.  def clone(): AnyRef
8.  def compressed: Vector
9.  def copy: SparseVector
10.  def dot(v: Vector): Double
11.  final def eq(arg0: AnyRef): Boolean
12.  def equals(other: Any): Boolean
13.  def foreachActive(f: (Int, Double) => Unit): Unit
14.  final def getClass(): Class[_ <: AnyRef]
15.  def hashCode(): Int
16.  val indices: Array[Int]
17.  final def isInstanceOf[T0]: Boolean
18.  final def ne(arg0: AnyRef): Boolean
19.  final def notify(): Unit
20.  final def notifyAll(): Unit
21.  def numActives: Int
22.  def numNonzeros: Int
23.  val size: Int
24.  final def synchronized[T0](arg0: => T0): T0
25.  def toArray: Array[Double]
26.  def toDense: DenseVector
27.  def toSparse: SparseVector
28.  def toString(): String
29.  val values: Array[Double]
30.  final def wait(arg0: Long, arg1: Int): Unit
31.  final def wait(arg0: Long): Unit
32.  final def wait(): Unit

1.  def finalize(): Unit

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