case class Bagger(method: Learner, numBags: Int = -1, useJackknife: Boolean = true, biasLearner: Option[Learner] = None, uncertaintyCalibration: Boolean = true, disableBootstrap: Boolean = false, randBasis: RandBasis = Rand) extends Learner with Product with Serializable

A bagger creates an ensemble of models by training the learner on random samples of the training data

Created by maxhutch on 11/14/16.

method

learner to train each model in the ensemble

numBags

number of base models to aggregate (default of -1 sets the number of models to the number of training rows)

useJackknife

whether to enable jackknife uncertainty estimate

biasLearner

learner to use for estimating bias

uncertaintyCalibration

whether to enable empirical uncertainty calibration

disableBootstrap

whether to disable bootstrap (useful when method implements its own randomization)

randBasis

breeze RandBasis to use for generating breeze random numbers

Linear Supertypes
Product, Equals, Learner, Serializable, AnyRef, Any
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  1. Bagger
  2. Product
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  4. Learner
  5. Serializable
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Instance Constructors

  1. new Bagger(method: Learner, numBags: Int = -1, useJackknife: Boolean = true, biasLearner: Option[Learner] = None, uncertaintyCalibration: Boolean = true, disableBootstrap: Boolean = false, randBasis: RandBasis = Rand)

    method

    learner to train each model in the ensemble

    numBags

    number of base models to aggregate (default of -1 sets the number of models to the number of training rows)

    useJackknife

    whether to enable jackknife uncertainty estimate

    biasLearner

    learner to use for estimating bias

    uncertaintyCalibration

    whether to enable empirical uncertainty calibration

    disableBootstrap

    whether to disable bootstrap (useful when method implements its own randomization)

    randBasis

    breeze RandBasis to use for generating breeze random numbers

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val biasLearner: Option[Learner]
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  7. val disableBootstrap: Boolean
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  10. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. val method: Learner
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. val numBags: Int
  17. def productElementNames: Iterator[String]
    Definition Classes
    Product
  18. val randBasis: RandBasis
  19. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  20. def train(trainingData: Seq[(Vector[Any], Any)], weights: Option[Seq[Double]] = None): BaggedTrainingResult[Any]

    Draw with replacement from the training data for each model

    Draw with replacement from the training data for each model

    trainingData

    to train on

    weights

    for the training rows, if applicable

    returns

    a model

    Definition Classes
    BaggerLearner
  21. def train(trainingData: Seq[(Vector[Any], Any, Double)]): TrainingResult

    Train a model with weights

    Train a model with weights

    trainingData

    with weights in the form (features, label, weight)

    returns

    training result containing a model

    Definition Classes
    Learner
  22. val uncertaintyCalibration: Boolean
  23. val useJackknife: Boolean
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Product

Inherited from Equals

Inherited from Learner

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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