EvaluatorFunc implements the Evaluator interface

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

Examples is a slice of Example elements

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

Evaluator implements the evaluator of a decision tree given a feature vector

FeatureSelector allows algorithms to configure which features to use for a given round of splitting

ForestGenerator is implemented by various algorithms that generate an ensemble of decision trees from the given training dataset.

LossFunction is an arbitrary loss function used in computing decision trees

MongoTrainer polls a MongoDB collection for changes and spins up training jobs based on these changes