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| author | dkazanc <dkazanc@hotmail.com> | 2019-02-25 17:24:54 +0000 |
|---|---|---|
| committer | dkazanc <dkazanc@hotmail.com> | 2019-02-25 17:24:54 +0000 |
| commit | 36cd88670b192e93f611863d58a438b9135b097c (patch) | |
| tree | d30cf898d3e357078f06354ab9bbc81e5feaaccd | |
| parent | 0587f96cafac66d9ee04005a80b43514c6d2a753 (diff) | |
| download | regularization-36cd88670b192e93f611863d58a438b9135b097c.tar.gz regularization-36cd88670b192e93f611863d58a438b9135b097c.tar.bz2 regularization-36cd88670b192e93f611863d58a438b9135b097c.tar.xz regularization-36cd88670b192e93f611863d58a438b9135b097c.zip | |
optim demo upd
| -rw-r--r-- | Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py b/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py index a79d0a3..c4f33ba 100644 --- a/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py +++ b/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py @@ -98,6 +98,12 @@ for i in range(0,param_space): plt.figure() plt.plot(erros_vec_sbtv) + +# Saving generated data with a unique time label +h5f = h5py.File('Optim_admm_sbtv.h5', 'w') +h5f.create_dataset('reg_param_sb_vec', data=reg_param_sb_vec) +h5f.create_dataset('erros_vec_sbtv', data=erros_vec_sbtv) +h5f.close() #%% param_space = 30 reg_param_rofllt_vec = np.linspace(0.03,0.15,param_space,dtype='float32') # a vector of parameters @@ -119,6 +125,12 @@ for i in range(0,param_space): plt.figure() plt.plot(erros_vec_rofllt) + +# Saving generated data with a unique time label +h5f = h5py.File('Optim_admm_rofllt.h5', 'w') +h5f.create_dataset('reg_param_rofllt_vec', data=reg_param_rofllt_vec) +h5f.create_dataset('erros_vec_rofllt', data=erros_vec_rofllt) +h5f.close() #%% param_space = 30 reg_param_tgv_vec = np.linspace(0.03,0.15,param_space,dtype='float32') # a vector of parameters @@ -139,4 +151,10 @@ for i in range(0,param_space): plt.figure() plt.plot(erros_vec_tgv) + +# Saving generated data with a unique time label +h5f = h5py.File('Optim_admm_tgv.h5', 'w') +h5f.create_dataset('reg_param_tgv_vec', data=reg_param_tgv_vec) +h5f.create_dataset('erros_vec_tgv', data=erros_vec_tgv) +h5f.close() #%%
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