Class

ml.combust.mleap.runtime.MleapSupport

TransformerOps

Related Doc: package MleapSupport

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implicit class TransformerOps extends AnyRef

Wrapper for ml.combust.mleap.runtime.transformer.Transformer.

Makes it easy to serialize the wrapped transformer to Bundle.ML.

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Instance Constructors

  1. new TransformerOps(transformer: Transformer)

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    transformer

    transform to wrap

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. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def serializeToBundle(path: File, list: Option[AttributeList] = None, format: SerializationFormat = SerializationFormat.Mixed)(implicit hr: HasBundleRegistry = BundleRegistry("mleap"), context: MleapContext = MleapContext()): Unit

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    Serialize the transformer to a Bundle.ML directory.

    Serialize the transformer to a Bundle.ML directory.

    path

    path to Bundle.ML

    list

    optional custom Bundle Attributes

    format

    serialization format

    hr

    bundle registry

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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