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org.ada.server.services.ml

SparkUnsupervisedEstimatorFactory

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object SparkUnsupervisedEstimatorFactory extends SparkMLEstimatorFactoryHelper

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  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. def apply[M <: Model[M]](model: UnsupervisedLearning): Estimator[M]

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  5. final def asInstanceOf[T0]: T0

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  6. def chain[T](trans: (T) ⇒ T*)(init: T): T

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  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. def setParam[T, M](paramValue: Option[T], setModelParam: (M) ⇒ (T) ⇒ M)(model: M): M

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    SparkMLEstimatorFactoryHelper

  18. def setSourceParam[T, S, M](source: S)(getParamValue: (S) ⇒ Option[T], setParamValue: (M) ⇒ (T) ⇒ M)(target: M): M

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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Inherited from SparkMLEstimatorFactoryHelper

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