TJetNet Node1 TJetNet - m_enActFunction - m_LayerCount - m_pLayers - m_TrainSetCnt - m_TestSetCnt - m_InputDim - m_HiddenLayerDim - m_OutputDim - m_Epochs - m_CurrentEpoch - m_Debug - m_IsInitialized - m_InitLocked - m_NormalizeOutput + TJetNet() + TJetNet() + ~TJetNet() + Print() + GetTrainSetCnt() + GetTestSetCnt() + GetInputDim() + GetHiddenLayerDim() + GetHiddenLayerSize() + GetOutputDim() and 69 more... - mSetWeight() - mSetThreshold() - CopyFile() - Reinitialize() Node2 TObject Node2->Node1 Node3 TNeuralDataSet - mpData - mpWeights - mpNormFactors - mpShiftFactors + TNeuralDataSet() + ~TNeuralDataSet() + TNeuralDataSet() + operator=() + GetPatternsCount() + GetUnitsCount() + GetData() + SetData() + GetEventWeight() + SetEventWeight() + Normalize() + Randomize() + Shuffle() Node3->Node1 -m_pOutputTestSet -m_pOutputTrainSet -m_pInputTestSet -m_pInputTrainSet