Packages

c

io.citrine.lolo.trees

TrainingNode

abstract class TrainingNode[T <: AnyVal, S] extends Serializable

Class to provide getNode interface for internal and leaf training nodes Created by maxhutch on 11/29/16.

T

type of the input vector

S

type of the model output

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Known Subclasses
TrainingLeaf, ClassificationTrainingNode, RegressionTrainingLeaf, RegressionTrainingNode
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Instance Constructors

  1. new TrainingNode(trainingData: Seq[(Vector[T], S, Double)], remainingDepth: Int = Int.MaxValue)

    trainingData

    that this node sees

    remainingDepth

    to stop growing the node

Abstract Value Members

  1. abstract def getFeatureImportance(): ArraySeq[Double]

    Get the feature importance of the subtree below this node

    Get the feature importance of the subtree below this node

    returns

    feature importance as a vector

  2. abstract def getNode(): ModelNode[PredictionResult[S]]

    Get the lightweight prediction node for the output tree

    Get the lightweight prediction node for the output tree

    returns

    lightweight prediction node

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