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. lazy val _f: (RowData) ⇒ AbstractPrediction

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    partial function for prediction, auxiliary function h2o github

    partial function for prediction, auxiliary function h2o github

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    protected
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. lazy val easyModel: EasyPredictModelWrapper

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

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  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. val modelCategory: ModelCategory

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  16. lazy val names: Array[String]

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    feature and response column names

    feature and response column names

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. 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

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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