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Here are the classes, structs, unions and interfaces with brief descriptions:
Algorithm
AlgorithmExploration
AUC
Autoencoder
AutomaticParameterTuner
BlendingNN
BlendStopping
Data
DatasetReader
Framework
GBDT
InputFeatureSelector
KernelRidgeRegression
KNearestNeighbor
LinearModel
LinearModelNonNeg
LogisticRegression
NeuralNetwork
NeuralNetworkRBMauto
NN
NNRBM
node_
nodeReduced_
NumericalTools
PolynomialRegression
Scheduler
StandardAlgorithm
StreamOutput
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