Class

ai.minxiao.ds4s.core.h2o.prediction

H2OPredictor

Related Doc: package prediction

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class H2OPredictor extends Serializable

H2OPredictor

load a pre-trained h2o pojo/mojo model and add a prediction function

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@SerialVersionUID()
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Instance Constructors

  1. new H2OPredictor(tp: String = "mojo", src: String)

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    load a trained model with a type and source (name/path).

    load a trained model with a type and source (name/path).

    tp

    the model's type: mojo vs pojo

    src

    the name/path of the pojo/mojo

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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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. lazy val easyModel: EasyPredictModelWrapper

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    protected
  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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    @throws( classOf[java.lang.Throwable] )
  10. lazy val genModel: GenModel

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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. val modelCategory: ModelCategory

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  15. lazy val names: Array[String]

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    feature and response column names

    feature and response column names

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    protected
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def predict(rowData: RowData): (String, Double)

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    predict on each RowData

    predict on each RowData

    returns

    Tuple2[String, Double]: String: class/cluster/low-dimension-string/regression-value-string Double: confidence score if applicable

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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