Object/Class

org.apache.spark.mllib.linalg

DenseVector

Related Docs: class DenseVector | package linalg

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object DenseVector extends Serializable

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@Since( "1.3.0" )
Source
Vectors.scala
Linear Supertypes
Serializable, Serializable, AnyRef, Any
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  1. DenseVector
  2. Serializable
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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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  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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  9. def fromML(v: ml.linalg.DenseVector): DenseVector

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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(dv: DenseVector): Option[Array[Double]]

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    Extracts the value array from a dense vector.

    Extracts the value array from a dense vector.

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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

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