github.com/ajtulloch/decisiontrees @main

Evaluator implements the evaluator of a decision tree given a feature vector [4 implementers]

LossFunction is an arbitrary loss function used in computing decision trees [3 implementers]

FeatureSelector allows algorithms to configure which features to use for a given round of splitting [2 implementers]

ForestGenerator is implemented by various algorithms that generate an ensemble of decision trees from the given training [2 …

DataSource is an interface for extracting training data from an arbitrary location TODO(tulloch) - make this an iterator [1 …

TreeMapperFunc returns the mapped node and a boolean representing whether we should continue traversal

EvaluatorFunc implements the Evaluator interface

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