RichAnyFeaturesCollection

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 autoTransform(label: Option[FeatureLike[RealNN]] = None): FeatureLike[OPVector]

   

   Convert features into a single vector feature using the feature engineering steps most likely to provide good results based on the types of the individual features passed in

   Convert features into a single vector feature using the feature engineering steps most likely to provide good results based on the types of the individual features passed in

   label

   optional label feature to be passed into stages that require the label column

   returns

   vector feature

6. def clone(): AnyRef

   

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

   

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8. def equals(arg0: Any): Boolean

   

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9. val features: TraversableOnce[OPFeature]

   

   a collection of arbitrary features

10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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

    

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18. def toString(): String

    

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19. def transmogrify(label: Option[FeatureLike[RealNN]] = None): FeatureLike[OPVector]

    

    Convert features into a single vector feature using the feature engineering steps most likely to provide good results based on the types of the individual features passed in

    Convert features into a single vector feature using the feature engineering steps most likely to provide good results based on the types of the individual features passed in

    label

    optional label feature to be passed into stages that require the label column

    returns

    vector feature

20. final def wait(): Unit

    

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

    

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

    

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