case class MultiTaskBagger(method: MultiTaskLearner, numBags: Int = -1, useJackknife: Boolean = true, biasLearner: Option[Learner] = None) extends MultiTaskLearner with Product with Serializable
Create an ensemble of multi-task models
- method
learner to train each model in the ensemble
- numBags
number of models in the ensemble
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new
MultiTaskBagger(method: MultiTaskLearner, numBags: Int = -1, useJackknife: Boolean = true, biasLearner: Option[Learner] = None)
- method
learner to train each model in the ensemble
- numBags
number of models in the ensemble
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- val biasLearner: Option[Learner]
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- val method: MultiTaskLearner
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- val numBags: Int
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def
train(inputs: Seq[Vector[Any]], labels: Seq[Seq[Any]], weights: Option[Seq[Double]] = None): Seq[BaggedTrainingResult]
Draw with replacement from the training data for each model
Draw with replacement from the training data for each model
- inputs
to train on
- labels
sequence of sequences of labels
- weights
for the training rows, if applicable
- returns
a model
- Definition Classes
- MultiTaskBagger → MultiTaskLearner
- val useJackknife: Boolean
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