Object/Class

org.apache.spark.mllib.linalg

SparseVector

Related Docs: class SparseVector | package linalg

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object SparseVector extends Serializable

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@Since( "1.3.0" )
Source
Vectors.scala
Linear Supertypes
Serializable, Serializable, AnyRef, Any
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  1. SparseVector
  2. Serializable
  3. Serializable
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Visibility
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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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    @throws( ... )

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

  9. def fromML(v: ml.linalg.SparseVector): SparseVector

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    Convert new linalg type to spark.mllib type.

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

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    @Since( "2.0.0" )

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. def unapply(sv: SparseVector): Option[(Int, Array[Int], Array[Double])]

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    @Since( "1.3.0" )

  19. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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