org.apache.spark.mllib.classification

NaiveBayesModel

class NaiveBayesModel extends ClassificationModel with Serializable

Model for Naive Bayes Classifiers.

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ClassificationModel, Serializable, Serializable, AnyRef, Any
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  2. ClassificationModel
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Instance Constructors

  1. new NaiveBayesModel(pi: Array[Double], theta: Array[Array[Double]])

    pi

    Log of class priors, whose dimension is C.

    theta

    Log of class conditional probabilities, whose dimension is CxD.

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  7. def clone(): AnyRef

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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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  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. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val pi: Array[Double]

    Log of class priors, whose dimension is C.

  18. def predict(testData: Array[Double]): Double

    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    testData

    array representing a single data point

    returns

    Int prediction from the trained model

    Definition Classes
    NaiveBayesModel → ClassificationModel

  19. def predict(testData: RDD[Array[Double]]): RDD[Double]

    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    testData

    RDD representing data points to be predicted

    returns

    RDD[Int] where each entry contains the corresponding prediction

    Definition Classes
    NaiveBayesModel → ClassificationModel

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

    Definition Classes
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  21. val theta: Array[Array[Double]]

    Log of class conditional probabilities, whose dimension is CxD.

  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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Inherited from ClassificationModel

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