Update docstring for the verbosity parameter (now default to False).

GPyOpt/core/bo.py

@@ -75,7 +75,7 @@ def run_optimization(self, max_iter = 0, max_time = np.inf,  eps = 1e-8, context
         :param max_iter: exploration horizon, or number of acquisitions. If nothing is provided optimizes the current acquisition.
         :param max_time: maximum exploration horizon in seconds.
         :param eps: minimum distance between two consecutive x's to keep running the model.
-        :param verbosity: flag to print the optimization results after each iteration (default, True).
+        :param verbosity: flag to print the optimization results after each iteration (default, False).
         :param report_file: filename of the file where the results of the optimization are saved (default, None).
         :param context: fixes specified variables to a particular context (values) for the optimization run (default, None).
         """

GPyOpt/methods/bayesian_optimization.py

@@ -63,7 +63,7 @@ class BayesianOptimization(BO):
         - 'thompson_sampling': batch method using Thompson sampling.
     :param batch_size: size of the batch in which the objective is evaluated (default, 1).
     :param num_cores: number of cores used to evaluate the objective (default, 1).
-    :param verbosity: prints the models and other options during the optimization.
+    :param verbosity: prints the models and other options during the optimization (default, False).
     :param maximize: when True -f maximization of f is done by minimizing -f (default, False).
     :param **kwargs: extra parameters. Can be used to tune the current optimization setup or to use deprecated options in this package release.