restored original prior values, raised lower bound on parameter 1 limits

linfa/tests/test_discr_09_prior_TP15.py

@@ -35,7 +35,7 @@ def run_test():
  exp.surr_upd_it = 2000 # int: Number of iterations for the surrogate model update
  exp.calibrate_interval = 1000 #:int: How often the surrogate model is updated
 
- exp.annealing = False # TODO : turn this on eventually
+ exp.annealing = False 
  exp.budget = 216 # int: Total number of true model evaulations
  exp.surr_folder = "./" 
  exp.use_new_surr = True
@@ -53,7 +53,7 @@ def run_test():
  exp.device = torch.device('cuda:0' if torch.cuda.is_available() and not exp.no_cuda else 'cpu')
 
  # Define transformation
- trsf_info = [['tanh', -7.0, 7.0, 100.0, 1500.0],
+ trsf_info = [['tanh', -7.0, 7.0, 250.0, 1500.0],
  ['tanh', -7.0, 7.0, -30000.0, -15000.0]]
  trsf = Transformation(trsf_info)
 
@@ -191,7 +191,7 @@ def generate_data(use_true_model=False,num_observations=50):
  model = PhysChem(var_grid)
 
  # Generate data
- model.genDataFile(use_true_model=use_true_model,num_observations=num_observations)
+ model.genDataFile(use_true_model = use_true_model, num_observations = num_observations)
 
 # Main code
 if __name__ == "__main__":