Class

ml.combust.mleap.core.feature

FeatureEncoder

Related Doc: package feature

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case class FeatureEncoder(numFeatures: Array[Int]) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. FeatureEncoder
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Instance Constructors

  1. new FeatureEncoder(numFeatures: Array[Int])

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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 finalize(): Unit

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  8. def foreachNonzeroOutput(v: Any, f: (Int, Double) ⇒ Unit): Unit

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    Given an input row of features, invokes the specific function for every non-zero output.

    Given an input row of features, invokes the specific function for every non-zero output.

    v

    The row value to encode, either a Double or Vector.

    f

    The callback to invoke on each non-zero (index, value) output pair.

  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. val numFeatures: Array[Int]

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  15. val outputSize: Int

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    The size of the output vector.

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

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  17. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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