úÎ D     Safe !"#$%&'()*$%&'()* !"#$%&'()*None  Hard sigmoid Prepend a row of onesaddBiases $ (2><3) [20..26](3><3) [ 1.0, 1.0, 1.0 , 20.0, 21.0, 22.0 , 23.0, 24.0, 25.0 ]<Random matrix with elements in the range of [minVal; maxVal]Random sparse matrixQNB: at the moment, the matrix is stored in memory as an ordinary (dense) matrix. Vertical scaling, width, offset Number of rows and columnsMinimal and maximal values    None+Trainable part of NTC-Modify data before masking (e.g. compression)Input weights (mask) range;Modify data before training or prediction (e.g. add biases),DDE reservoir abstractionDefault NTC parametersOffline NTC training-./0+1,234Input dimension, network nodes, and output dimension45Discard the first N points6Input matrix of features rows and observations columns-Desired output matrix of observations columns   -./0+1,23456       !"#$%&'()*+,-./0112340567841vtf0VFRLmAb4txWRQSiWRC.NTC RC.HelpersPaths_rc9XIEMVQrFEo6KkS9uraIdBNumeric.DDE.Model_filt_rho_fnlRC_gamma_beta MackeyGlassPar_theta_tauBandpassFilteringhsigmoid addBiases randMatrix randSparserandList NTCParameters _preprocess_inputWeightsRange_inputWeightsGenerator _postprocess_reservoirModelnewpar0learnpredictcatchIOversionbindirlibdir dynlibdirdatadir libexecdir sysconfdir getBinDir getLibDir getDynLibDir getDataDir getLibexecDir getSysconfDirgetDataFileName_outputWeights ReservoirNTC _inputWeights _reservoir_par _transform genReservoir forwardPass