case class MultiTaskFeatureRotator(baseLearner: MultiTaskLearner) extends MultiTaskLearner with Product with Serializable
Linear Supertypes
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Instance Constructors
- new MultiTaskFeatureRotator(baseLearner: MultiTaskLearner)
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- final def !=(arg0: Any): Boolean
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- val baseLearner: MultiTaskLearner
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- def productElementNames: Iterator[String]
- Definition Classes
- Product
- final def synchronized[T0](arg0: => T0): T0
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- def train(trainingData: Seq[(Vector[Any], Vector[Any])], weights: Option[Seq[Double]]): MultiTaskRotatedFeatureTrainingResult
Create linear transformations for continuous features and labels & pass data through to learner
Create linear transformations for continuous features and labels & pass data through to learner
- trainingData
to train on
- weights
for the training rows, if applicable
- returns
a sequence of training results, one for each label
- Definition Classes
- MultiTaskFeatureRotator → MultiTaskLearner
- final def wait(): Unit
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- final def wait(arg0: Long, arg1: Int): Unit
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