Resolve "Experiment pipeline"

Closes #12 (closed)

code/compute_hyperparameters.py

@@ -135,14 +135,14 @@ if __name__ == "__main__":
                         'max_features': Categorical(['auto', 'sqrt', 'log2'], [0.5, 0.25, 0.25])}
     begin_random_seed_range = 1
     end_random_seed_range = 2000
-    DEFAULT_USE_DIFFERENT_SEED_NUMBER = False
+    DEFAULT_USE_VARIABLE_SEED_NUMBER = False
 
     parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
     parser.add_argument('--cv', nargs='?', type=int, default=DEFAULT_CV, help='Specify the size of the cross-validation.')
     parser.add_argument('--n_iter', nargs='?', type=int, default=DEFAULT_N_ITER, help='Specify the number of iterations for the bayesian search.')
     parser.add_argument('--random_seed_number', nargs='?', type=int, default=DatasetLoader.DEFAULT_RANDOM_SEED_NUMBER, help='Number of random seeds used.')
     parser.add_argument('--seeds', nargs='+', type=int, default=None, help='Specific a list of seeds instead of generate them randomly')
-    parser.add_argument('--use_different_seed_number', action='store_true', default=DEFAULT_USE_DIFFERENT_SEED_NUMBER, help='Compute the amount of random seeds depending on the dataset.')
+    parser.add_argument('--use_variable_seed_number', action='store_true', default=DEFAULT_USE_VARIABLE_SEED_NUMBER, help='Compute the amount of random seeds depending on the dataset.')
     parser.add_argument('--datasets', nargs='+', type=str, default=DatasetLoader.dataset_names, help='Specify the dataset used by the estimator.')
     parser.add_argument('--verbose', action='store_true', default=DEFAULT_VERBOSE, help='Print information during the bayesian search.')
     args = parser.parse_args()
@@ -153,7 +153,7 @@ if __name__ == "__main__":
         logger.warning('seeds and random_seed_number parameters are both specified. Seeds will be used.')    
 
     # Seeds are either provided as parameters or generated at random
-    if args.use_different_seed_number:
+    if args.use_variable_seed_number:
         seeds = args.seeds if args.seeds is not None \
             else [random.randint(begin_random_seed_range, end_random_seed_range) \
             for i in range(args.random_seed_number)]
@@ -169,7 +169,7 @@ if __name__ == "__main__":
         DatasetLoader.dataset_seed_numbers dictionary, depending on
         the dataset.
         """
-        if args.use_different_seed_number:
+        if args.use_variable_seed_number:
             seeds = [random.randint(begin_random_seed_range, end_random_seed_range) \
                 for i in range(DatasetLoader.dataset_seed_numbers[dataset_name])]