Trait

com.salesforce.op.stages.impl.selector

ModelSelectorFactory

Related Doc: package selector

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trait ModelSelectorFactory extends AnyRef

Creates the model selector class

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  1. trait ModelDefaults[M <: ModelsToTry] extends AnyRef

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    Default model types and model parameters for problem type

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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 addDefaultEvaluators(evaluators: Seq[OpEvaluatorBase[_ <: EvaluationMetrics]], defaultEvaluators: Seq[OpEvaluatorBase[_ <: EvaluationMetrics]]): Seq[OpEvaluatorBase[_ <: EvaluationMetrics]]

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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. 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. 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. def selector(validator: OpValidator[ModelType, EstimatorType], splitter: Option[Splitter], trainTestEvaluators: Seq[OpEvaluatorBase[_ <: EvaluationMetrics]], modelTypesToUse: Seq[ModelsToTry], modelsAndParameters: Seq[(EstimatorType, Array[ParamMap])], modelDefaults: ModelDefaults[_ <: ModelsToTry]): ModelSelector[ModelType, EstimatorType]

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    Create the model selector for specified interface

    Create the model selector for specified interface

    validator

    training split of cross validator

    splitter

    data prep class

    trainTestEvaluators

    evaluation to do on data

    modelTypesToUse

    list of models to use

    modelsAndParameters

    sequence of models and parameters to explore

    modelDefaults

    default model types and model parameters for problem type

    returns

    model selector with these settings

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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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