Class

com.alpine.metadata

TransformationSchema

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class TransformationSchema extends AnyRef

We need this information to figure out the output structure of the Predictor, e.g. if the resultType is ClassificationResult then there are 3 output columns, if it is RealResult then there is one (double type) column. identifier is used as part of the output column names (we may change how this works in the future).

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Instance Constructors

  1. new TransformationSchema(outputFeatures: Seq[ColumnDef], identifier: String = "")

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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. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. val identifier: String

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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. val outputFeatures: Seq[ColumnDef]

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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. 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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