Models retrieved from Pastastore get an extra warning: 'Model parameters could not be estimated well.' #208
Description
fit_report after solving:
_Fit report 50-001-1_NM05_EXT2_PER1 Fit Statistics
=======================================================
nfev 44 EVP 61.33
nobs 1367 R2 0.61
noise True RMSE 0.35
tmin 1960-04-21 00:00:00 AICc -5231.77
tmax 2022-07-01 00:00:00 BIC -5169.36
freq D Obj 14.62
warmup 3650 days 00:00:00 ___
solver LeastSquares Interp. No
Parameters (12 optimized)
=======================================================
optimal initial vary
recharge_flexmodel_A 9.598754 0.679350 True
recharge_flexmodel_n 0.758678 1.000000 True
recharge_flexmodel_a 276.954348 10.000000 True
recharge_flexmodel_srmax 7.901284 250.000000 True
recharge_flexmodel_lp 0.250000 0.250000 False
recharge_flexmodel_ks 0.316794 100.000000 True
recharge_flexmodel_gamma 0.354825 2.000000 True
recharge_flexmodel_kv 1.435135 1.000000 True
recharge_flexmodel_simax 2.000000 2.000000 False
wells_A -0.000083 -0.000744 True
wells_a 999.303562 100.000000 True
wells_b -17.248921 -17.443556 True
constant_d 6.856528 8.018306 True
noise_alpha 338.797045 14.000000 True_
fit_report after:
saving in pastastore using: conn.add_model(ml, overwrite=True)
retreving out of pastastore using:
_ml.fit_report()
Out[12]: 'Fit report 50-001-1_NM05_EXT2_PER1 Fit Statistics\n=======================================================\nnfev 44 EVP 61.33\nnobs 1367 R2 0.61\nnoise True RMSE 0.35\ntmin 1960-04-21 00:00:00 AICc -5231.77\ntmax 2022-07-01 00:00:00 BIC -5169.36\nfreq D Obj 14.62\nwarmup 3650 days 00:00:00 ___ \nsolver LeastSquares Interp. No\n\nParameters (12 optimized)\n=======================================================\n optimal initial vary\nrecharge_flexmodel_A 9.598754 0.679350 True\nrecharge_flexmodel_n 0.758678 1.000000 True\nrecharge_flexmodel_a 276.954348 10.000000 True\nrecharge_flexmodel_srmax 7.901284 250.000000 True\nrecharge_flexmodel_lp 0.250000 0.250000 False\nrecharge_flexmodel_ks 0.316794 100.000000 True\nrecharge_flexmodel_gamma 0.354825 2.000000 True\nrecharge_flexmodel_kv 1.435135 1.000000 True\nrecharge_flexmodel_simax 2.000000 2.000000 False\nwells_A -0.000083 -0.000744 True\nwells_a 999.303562 100.000000 True\nwells_b -17.248921 -17.443556 True\nconstant_d 6.856528 8.018306 True\nnoise_alpha 338.797045 14.000000 True\n\nWarnings! (1)\n=======================================================\nModel parameters could not be estimated well.'_