Mercurial > repos > bimib > marea_2_0

changeset 165:3baaf47a5545 draft

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Uploaded
author luca_milaz
date Wed, 03 Jul 2024 17:57:00 +0000
parents 6df4c3659248
children 855564643f91
files marea_2_0/flux_sampling.py
diffstat 1 files changed, 4 insertions(+), 4 deletions(-) [+]
line wrap: on
line diff
--- a/marea_2_0/flux_sampling.py	Wed Jul 03 17:49:27 2024 +0000
+++ b/marea_2_0/flux_sampling.py	Wed Jul 03 17:57:00 2024 +0000
@@ -54,7 +54,7 @@
     parser.add_argument('-a', '--algorithm',
                         type = str,
                         choices = ['OPTGP', 'CBS'],
-                        default = 'OPTGP',
+                        default = 'CBS',
                         help = 'choose sampling algorithm')
     
     parser.add_argument('-th', '--thinning', 
@@ -140,16 +140,16 @@
             ARGS.out_log)
             CBS_backend.randomObjectiveFunctionSampling_cobrapy(model, n_samples, df_coefficients.iloc[:,i*n_samples:(i+1)*n_samples], 
                                                     samples)
-        samples.to_csv(ARGS.output_folder + "CBS/" +  model_name + '_'+ str(i)+'.csv')
+        samples.to_csv(ARGS.output_folder +  model_name + '_'+ str(i)+'.csv')
 
     for i in range(0, n_batches):
-        samples_batch = pd.read_csv(ARGS.output_folder + "CBS/" +  model_name + '_'+ str(i)+'.csv')
+        samples_batch = pd.read_csv(ARGS.output_folder  +  model_name + '_'+ str(i)+'.csv')
         samplesTotal = pd.concat([samplesTotal, samples_batch], ignore_index = True)
 
     write_to_file(samplesTotal, ARGS.output_folder + model_name)
 
     for i in range(0, n_batches):
-        os.remove(ARGS.output_folder + "CBS/" +  model_name + '_'+ str(i)+'.csv')
+        os.remove(ARGS.output_folder +   model_name + '_'+ str(i)+'.csv')
     pass