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org.apache.spark.examples.ml

UnaryTransformerExample

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object UnaryTransformerExample

An example demonstrating creating a custom org.apache.spark.ml.Transformer using the UnaryTransformer abstraction.

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bin/run-example ml.UnaryTransformerExample
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  1. class MyTransformer extends UnaryTransformer[Double, Double, MyTransformer] with DefaultParamsWritable

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    Simple Transformer which adds a constant value to input Doubles.

    Simple Transformer which adds a constant value to input Doubles.

    UnaryTransformer can be used to create a stage usable within Pipelines. It defines parameters for specifying input and output columns: UnaryTransformer.inputCol and UnaryTransformer.outputCol. It can optionally handle schema validation.

    DefaultParamsWritable provides a default implementation for persisting instances of this Transformer.

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. object MyTransformer extends DefaultParamsReadable[MyTransformer] with Serializable

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    Companion object for our simple Transformer.

    Companion object for our simple Transformer.

    DefaultParamsReadable provides a default implementation for loading instances of this Transformer which were persisted using DefaultParamsWritable.

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def finalize(): Unit

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  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. def main(args: Array[String]): Unit

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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. 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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