Class/Object

ml.combust.mleap.core.feature

VectorAssemblerModel

Related Docs: object VectorAssemblerModel | package feature

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case class VectorAssemblerModel() extends Serializable with Product

Class for a vector assembler model.

Vector assemblers take an input set of doubles and vectors and create a new vector out of them. This is primarily used to get all desired features into one vector before training a model.

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Product, Equals, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new VectorAssemblerModel()

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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. def apply(vv: Array[Any]): Vector

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    Assemble a feature vector from a set of input features.

    Assemble a feature vector from a set of input features.

    vv

    all input feature values

    returns

    assembled vector

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. final def isInstanceOf[T0]: Boolean

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

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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

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  15. final def wait(): Unit

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

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

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Inherited from Product

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Inherited from Serializable

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