MultiLayerPerceptronClassifierModel

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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3. final def ==(arg0: Any): Boolean

   

   Definition Classes

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4. def apply(features: Vector): Double

   

   Alias for ml.combust.mleap.core.classification.ClassificationModel#predict.

   Alias for ml.combust.mleap.core.classification.ClassificationModel#predict.

   features

   feature vector

   returns

   prediction

   Definition Classes

   ClassificationModel

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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   @throws( ... )

7. final def eq(arg0: AnyRef): Boolean

   

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8. def finalize(): Unit

   

   Attributes

   protected[java.lang]

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   @throws( classOf[java.lang.Throwable] )

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

   

   Definition Classes

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10. def inputSchema: StructType

    

    Definition Classes

    ProbabilisticClassificationModel → Model

11. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

12. val layers: Seq[Int]

    

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

    

    Definition Classes

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

    Definition Classes

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16. val numClasses: Int

    

    Number of classes this model predicts.

    Number of classes this model predicts.

    2 indicates this is a binary classification model. Greater than 2 indicates a multinomial classifier.

    Definition Classes

    MultiLayerPerceptronClassifierModel → ProbabilisticClassificationModel

17. val numFeatures: Int

    

    Definition Classes

    MultiLayerPerceptronClassifierModel → ProbabilisticClassificationModel

18. def outputSchema: StructType

    

    Definition Classes

    ProbabilisticClassificationModel → Model

19. def predict(features: Vector): Double

    

    Predict class based on feature vector.

    Predict class based on feature vector.

    features

    feature vector

    returns

    predicted class or probability

    Definition Classes

    ProbabilisticClassificationModel → ClassificationModel

20. def predictProbabilities(features: Vector): Vector

    

    Definition Classes

    ProbabilisticClassificationModel

21. def predictRaw(features: Vector): Vector

    

    Definition Classes

    MultiLayerPerceptronClassifierModel → ProbabilisticClassificationModel

22. def predictWithProbability(features: Vector): (Double, Double)

    

    Definition Classes

    ProbabilisticClassificationModel

23. def probabilityToPrediction(probability: Vector): Double

    

    Definition Classes

    ProbabilisticClassificationModel

24. def probabilityToPredictionIndex(probability: Vector): Int

    

    Definition Classes

    ProbabilisticClassificationModel

25. def rawToPrediction(raw: Vector): Double

    

    Definition Classes

    ProbabilisticClassificationModel

26. def rawToProbability(raw: Vector): Vector

    

    Definition Classes

    ProbabilisticClassificationModel

27. def rawToProbabilityInPlace(raw: Vector): Vector

    

    Definition Classes

    MultiLayerPerceptronClassifierModel → ProbabilisticClassificationModel

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

    

    Definition Classes

    AnyRef

29. def thresholds: Option[Array[Double]]

    

    Definition Classes

    ProbabilisticClassificationModel

30. final def wait(): Unit

    

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

    

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

    

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33. val weights: Vector