GenericConfigGenerator

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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(predictionType: String): GenericConfigGenerator

   

   Companion object apply generator

   Companion object apply generator

   predictionType

   the type of modeling desired: 'regressor' or 'classifier'

   returns

   Instance of the GenericConfigGenerator with defaults applied.

5. final def asInstanceOf[T0]: T0

   

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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. def finalize(): Unit

   

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10. def generateDefaultClassifierConfig: GenericConfig

    

    Helper method that allows for default settings for a classifier to be used and generated

    Helper method that allows for default settings for a classifier to be used and generated

    returns

    GenericConfig Object, setup for classifiers.

    Example:

    1. val defaultClassifierGenericConfig = GenericConfigGenerator.generateDefaultClassifierConfig

11. def generateDefaultRegressorConfig: GenericConfig

    

    Helper method that allows for default settings for a regressor to be used and generated

    Helper method that allows for default settings for a regressor to be used and generated

    returns

    GenericConfig Object, setup for regressors.

    Example:

    1. val defaultRegressirGenericConfig = GenericConfigGenerator.generateDefaultRegressorConfig

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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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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