changed func for examples

examples/example_bohamiann.py

@@ -7,11 +7,16 @@
 
 logging.basicConfig(level=logging.INFO)
 
-f = Branin()
-info = f.get_meta_information()
-bounds = np.array(info['bounds'])
+
+def objective_function(x):
+    y = np.sin(3 * x[0]) * 4 * (x[0] - 1) * (x[0] + 2)
+    return y
+
+# Defining the bounds and dimensions of the input space
+lower = np.array([0])
+upper = np.array([6])
 
 # Start Bayesian optimization to optimize the objective function
-results = bohamiann(f, bounds[:, 0], bounds[:, 1], num_iterations=20)
+results = bohamiann(objective_function, lower, upper, num_iterations=20)
 print(results["x_opt"])
 print(results["f_opt"])

examples/example_fmin.py

@@ -6,6 +6,8 @@
 
 import logging
 logging.basicConfig(level=logging.INFO)
+
+
 # The optimization function that we want to optimize.
 # It gets a numpy array with shape (1,D) where D is the number of input dimensions
 def objective_function(x):