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• saveBestPrediction() : BlendingNN , BlendStopping , StandardAlgorithm
• saveBlendingWeights() : BlendStopping
• saveTmpBestWeights() : BlendStopping
• saveTreeRecursive() : GBDT
• saveWeights() : GBDT , NN , NNRBM , KernelRidgeRegression , PolynomialRegression , KNearestNeighbor , LinearModel , LinearModelNonNeg , LogisticRegression , Autoencoder , NeuralNetwork , NeuralNetworkRBMauto
• Scheduler() : Scheduler
• selectFeatures() : InputFeatureSelector
• setActivationFunctionType() : NN
• setAdditionalStartupParameter() : Framework
• setAlgorithmList() : Data
• setBatchSize() : NN , NNRBM
• setCurrentParameter() : AutomaticParameterTuner
• setDataPointers() : Data
• setDatasetType() : Framework
• setDebug() : AutomaticParameterTuner
• setFrameworkMode() : Framework
• setGlobalEpochs() : NNRBM , NN
• setInitWeightFactor() : NN , NNRBM
• setL1Regularization() : NN , NNRBM
• setLearnrate() : NN , NNRBM
• setLearnrateMinimum() : NN , NNRBM
• setLearnrateSubtractionValueAfterEveryEpoch() : NN , NNRBM
• setLearnrateSubtractionValueAfterEverySample() : NN , NNRBM
• setMaxEpochs() : NN , NNRBM
• setMaxThreads() : Framework
• setMinUpdateErrorBound() : NN , NNRBM
• setMomentum() : NN , NNRBM
• setNNStructure() : NN , NNRBM
• setNormalTrainStopping() : NNRBM , NN
• setNrExamplesProbe() : NN , NNRBM
• setNrExamplesTrain() : NNRBM , NN
• setNrInputs() : NN , NNRBM
• setNrTargets() : NNRBM , NN
• setOptimizeBlendRmse() : AutomaticParameterTuner
• setOptimizeProbeRmse() : AutomaticParameterTuner
• setPathes() : Data
• setPredictionMode() : StandardAlgorithm
• setPredictionModeInAlgorithm() : Scheduler
• setProbeInputs() : NN , NNRBM
• setProbeTargets() : NNRBM , NN
• setRandomSeed() : Framework
• setRBMLearnParams() : NNRBM
• setRegularization() : BlendStopping
• setRPROPMinMaxUpdate() : NNRBM , NN
• setRPROPPosNeg() : NNRBM , NN
• setScaleOffset() : NN , NNRBM
• setTrainInputs() : NN , NNRBM
• setTrainTargets() : NNRBM , NN
• setWeightDecay() : NNRBM , NN
• setWeights() : NNRBM , NN
• simpleStochasticParameterFinder() : AutomaticParameterTuner
• splitRandomTestset() : DatasetReader
• splitStringToIntegerList() : Data
• splitStringToStringList() : Data
• StandardAlgorithm() : StandardAlgorithm
• start() : AlgorithmExploration
• StreamOutput() : StreamOutput