(self, *kwargs)

(x, n_units, initializer, activation)

()

(params_list, params_name=None)

(kwargs)

(steps)

(x, pre_unit, res_unit, initializer, activation)

(x, n_units, n_layers, initializer, activation)

(nn, weight_path)

(params, configDict)

(nn, var_dict, params_dict)

(model, weight_path, overwrite=False)

(path)

(self, x, value)

(nn, param_list)

(self, t, tmin, tmax, tminp, tmaxp)

(terms, string)

(string)

(x, n_blocks, n_units, initializer, activation)

( temp_pred, spac_pred, field_pred, time_stamps=[0, 200, 400], xlabel="", ylabel="",

(dataFolder, param_list=None)

(nn, data_dict)

(tensor_list)

(tensor_list, nTrainablePar)

(steps, residuals, names, title, ax=None)

( steps, residuals, names, title, filterSize=10, ax=None )

(steps, lossWeights, names, title, ax=None)

( steps, residuals, residualsProportion, names, title, ax=None )

(filename)

(filename)

(nn, var_list, dummyVal=np.float64(0.0))

(model, weight_path, overwrite=False)

(x_arr, dummyVal=np.float64(0.0))

(dataDict, predDict, debug=False)

(unknowns, inpt)

(self, model)

( modelFolder, dataFolder, params, nn=None, data_dict=None, var_dict=None, params_

(args, input_params)

( interiorTerms, boundaryTerms, dataTerms, regularizationTerms, alpha )

( listDatax, listDatat, listData, tmax, listTitle, listXAxisName=None, vminList=No

(order, xd, yd)

(self, param, param_old, mode)

(self, w, sizes_w, sizes_b)

(self, param, param_old, mode)

(args)

(input_params, nn)

(input_params, nn)

(n_r, dt, params, deg_i0_a, deg_ds_c, verbose=False)

(x, activation)

(self, lr_m, learningRateModelFinal)

()

()

(rootFolder, prefix="LogFin")

(n_r, params)

(n_t, params)

(val_list)

(n_t, n_r, params, deg_i0_a, deg_ds_c)

(args)

(inpt)

( sol, config, params, deg_i0_a, deg_ds_c, explicit=False, verbose=False, LINE

(order_list, xd, yd)

( temp_pred, field_phie_pred, field_phis_c_pred, xlabel="time (s)", ylabel="(V)", titl

( utilFolder, modelFolder, localUtilFolder, loadDep=False, checkRescale=False )

(self, epoch, mse, bestLoss, mse_unweighted=None)

(dataFolder, param_list=None)

(t_dom, r_dom)

(y_err=0.1, mcmc_method="HMC")

(nn, params_list)

(args)

(args)

(args)

(dt, r, ddr_cs, ds, ddDs_cs, cs, bound_grad)

( self, tmax, nIter, epochDoneLBFGS, epochDoneSGD, bestLoss,

(params, deg, bat, an, ca, ic)

(x, y)

(ds, dt, dr)

(self, grads_model)

( self, grads, weights, )

( self, grads, weights, )

( self, grads, weights, )

( self, grads, weights, )

(xData, x_params_data, yData)

(xDataList, x_params_dataList, yDataList)

(p, xd)

(cs_c, T, R, cscamax)

(self, lr_m, epoch, scheduler)

(self, lr_w, epoch, scheduler)

(self, lt)

(n_r, params, deg_i0_a, deg_ds_c, verbose=False)

( self, lr_m, learningRateModelFinal, lr_w, learningRateWeightsFinal )

(p)

(p, ranget)

(rootFolder, prefix="LogFin")

(modelFolder)

(dt, params)

(T, R)

(cs_c, T, R, cscamax)

(val_list)