Class/Object

com.danylchuk.swiftlearner.bayes

GaussianNaiveBayes

Related Docs: object GaussianNaiveBayes | package bayes

Permalink

class GaussianNaiveBayes extends AnyRef

Gaussian naive Bayes classifier.

You can create it first time with fromTrainingSet(), then reuse the learned values if you like with the constructor.

Ref: https://en.wikipedia.org/wiki/Naive_Bayes_classifier http://machinelearningmastery.com/naive-bayes-classifier-scratch-python/

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. GaussianNaiveBayes
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new GaussianNaiveBayes(meansAndVariances: Map[Int, Seq[(Double, Double)]])

    Permalink

    meansAndVariances

    Map by class: sequence of (mean, variance) for each parameter.

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def classLikelihoods(parameters: Seq[Double]): Map[Int, Double]

    Permalink

    We don't need the exact probabilities here, only some likelihood weights for picking the most likely class.

    We don't need the exact probabilities here, only some likelihood weights for picking the most likely class. So we take the probability density values, and add them in log space instead of multiplying, to avoid type underflow from multiplying many small fractional values.

    returns

    Map(class -> likelihood): weights for belonging to each class given the parameters.

  6. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Permalink
    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  13. val meansAndVariances: Map[Int, Seq[(Double, Double)]]

    Permalink

    Map by class: sequence of (mean, variance) for each parameter.

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

    Permalink
    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  17. def predict(parameters: Seq[Double]): Int

    Permalink

    Predicts the most likely class given the parameters.

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

    Permalink
    Definition Classes
    AnyRef

  19. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped