case class Bagger(method: Learner, numBags: Int = -1, useJackknife: Boolean = true, biasLearner: Option[Learner] = None) 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 models in the ensemble
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def
train(trainingData: Seq[(Vector[Any], Any)], weights: Option[Seq[Double]] = None): BaggedTrainingResult
Draw with replacement from the training data for each model
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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
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- Learner
- val useJackknife: Boolean
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