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• partitionDatasetToCrossValidationSets() : Data
• plotParameters() : AutomaticParameterTuner
• PolynomialRegression() : PolynomialRegression
• power() : PolynomialRegression
• predict() : Scheduler
• predictAllOutputs() : KernelRidgeRegression , KNearestNeighbor , LinearModel , LinearModelNonNeg , Autoencoder , LogisticRegression , NeuralNetwork , GBDT , NeuralNetworkRBMauto , PolynomialRegression
• predictEnsembleOutput() : BlendingNN , BlendStopping
• predictMultipleOutputs() : StandardAlgorithm
• predictSingleInput() : NNRBM , NN
• predictSingleTree() : GBDT
• predictWithRidgeRegression() : InputFeatureSelector
• preparePredictionMode() : Scheduler
• printLearnrate() : NNRBM , NN
• printMiddleLayerToFile() : NNRBM
• printWeights() : BlendStopping