Type Members

1.  class RegressionTrainingLeaf extends TrainingNode[AnyVal, Double]

   Training leaf node for regression trees Created by maxhutch on 3/8/17.

2.  class RegressionTrainingNode extends TrainingNode[AnyVal, Double]

   Created by maxhutch on 1/12/17.

3.  class RegressionTree extends Model[RegressionTreeResult]

   Container holding a model node, encoders, and the feature influences

4.  case class RegressionTreeLearner(numFeatures: Int = -1, maxDepth: Int = 30, minLeafInstances: Int = 1, leafLearner: Option[Learner] = None, splitter: Splitter[Double] = RegressionSplitter(), rng: Random = Random) extends Learner with Product with Serializable

   Learner for regression trees

   Learner for regression trees

   Created by maxhutch on 11/28/16.

   numFeatures

   to randomly select from at each split (default: all)

   maxDepth

   to grow the tree to

   minLeafInstances

   minimum number of training instances per leaf

   leafLearner

   learner to train the leaves with

   splitter

   to determine the best split of the node data

   rng

   random number generator, for reproducibility

5.  class RegressionTreeResult extends PredictionResult[Double]

   Simple wrapper around a sequence of predictions

6.  class RegressionTreeTrainingResult extends TrainingResult