Renamed examples files to not contain 'test'

examples/convergence_tests/convergence_test.py → examples/convergence/convergence.py

@@ -4,7 +4,7 @@
 import matplotlib.pyplot as plt
 import time
 
-def convergence_test(engine, steps, error, train_samples, test_samples, 
+def convergence(engine, steps, error, train_samples, test_samples, 
                      test_data, plot = True, write = True):
     """
     Tests the convergence for a metamodel over the number of given training 

examples/convergence_tests/example_trainingconvergence.py → examples/convergence/example_trainingconvergence.py

@@ -17,7 +17,7 @@ from bayesvalidrox.surrogate_models.engine import Engine
 from bayesvalidrox.surrogate_models.exp_designs import ExpDesigns
 import bayesvalidrox.surrogate_models.surrogate_models as sm
 
-from convergence_test import convergence_test
+from convergence import convergence
 from testfunction import testfunction
 
 def error(mean, std, true):
@@ -125,12 +125,12 @@ if __name__=="__main__":
     engine = Engine(MetaMod, Model, ExpDesign)
 
     # Run the convergence test
-    results_FastArd = convergence_test(engine, steps, error, train_samples, test_samples, test_data)
+    results_FastArd = convergence(engine, steps, error, train_samples, test_samples, test_data)
     
     # Change the loss function base-type
     new_type = 'ols'
     engine.MetaModel.pce_reg_method = new_type
-    results_OLS = convergence_test(engine, steps, error, train_samples, test_samples, test_data)
+    results_OLS = convergence(engine, steps, error, train_samples, test_samples, test_data)
     
     # Do OLS with Constraints
     # The actual constraints can currently be found and changed in 
@@ -138,7 +138,7 @@ if __name__=="__main__":
     # will be improved in future releases
     engine.MetaModel.apply_constraints = True
     engine.MetaModel.init_type = 'zeros'
-    results_PI_0rand = convergence_test(engine, steps, error, train_samples, test_samples, test_data)
+    results_PI_0rand = convergence(engine, steps, error, train_samples, test_samples, test_data)
     
     # Plot the results
     for key in results_FastArd[1]: