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com.datasolvr.services.facade.TransformOptions

MachineLearningModelOptions

object MachineLearningModelOptions extends OptionDescriptionBuilder

Defines the options that can be used with the built in machine learning transforms in BuiltInTransforms.

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  1. MachineLearningModelOptions
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val HANDLE_EMPTY: String

    Defines how to handle missing values.

    Defines how to handle missing values. See HandleEmpty.

  5. val HANDLE_INVALID: String

    Defines how to handle invalid values.

    Defines how to handle invalid values. Use 'skip' to ignore, 'error' to fail or 'keep' to consider them as a single special value.

  6. val MAX_CATEGORIES: String

    The maximal number of categories to allow for discrete variable before excluding it from the model.

  7. def Mandatory(name: String, validation: (String) ⇒ Option[String] = s => None): OptionDescription
    Attributes
    protected
    Definition Classes
    OptionDescriptionBuilder
  8. val NUMERICAL_COLUMNS: String

    Selects numerical feature columns that should not be considered categorical, even though there are less than MAX_CATEGORIES distinct values

  9. def Optional(name: String, default: Option[String] = None, validation: (String) ⇒ Option[String] = s => None): OptionDescription
    Attributes
    protected
    Definition Classes
    OptionDescriptionBuilder
  10. val PREDICT_COLUMN: String

    The column containing the target label to predict.

  11. val SEED: String

    A random seed to use during model training.

    A random seed to use during model training. Use this do make the training more deterministic.

  12. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  13. def baseDescriptions: List[OptionDescription]
  14. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  15. def descriptions(descriptions: OptionDescription*): OptionDescriptions
    Attributes
    protected
    Definition Classes
    OptionDescriptionBuilder
  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  18. def get: OptionDescriptions
    Definition Classes
    MachineLearningModelOptions → OptionDescriptionBuilder
  19. final def getClass(): Class[_]
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  20. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  22. def legacyOptions: Set[String]
    Definition Classes
    OptionDescriptionBuilder
  23. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  24. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  25. final def notifyAll(): Unit
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  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  27. def toString(): String
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  28. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  29. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  30. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  31. object HandleEmpty

    Defines options for how to handle missing values.

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from OptionDescriptionBuilder

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