Update BayesOptSearch docs

Signed-off-by: till-m <[email protected]>

python/ray/tune/search/bayesopt/bayesopt_search.py

@@ -39,27 +39,27 @@ def _dict_hash(config, precision):
 
 
 class BayesOptSearch(Searcher):
-    """Uses fmfn/BayesianOptimization to optimize hyperparameters.
+    """Uses bayesian-optimization/BayesianOptimization to optimize hyperparameters.
 
-    fmfn/BayesianOptimization is a library for Bayesian Optimization. More
-    info can be found here: https://github.com/fmfn/BayesianOptimization.
+    bayesian-optimization/BayesianOptimization is a library for Bayesian Optimization. More
+    info can be found here: https://github.com/bayesian-optimization/BayesianOptimization.
 
     This searcher will automatically filter out any NaN, inf or -inf
     results.
 
-    You will need to install fmfn/BayesianOptimization via the following:
+    You will need to install bayesian-optimization/BayesianOptimization via the following:
 
     .. code-block:: bash
 
-        pip install bayesian-optimization
+        pip install bayesian-optimization==1.4.3
 
     Initializing this search algorithm with a ``space`` requires that it's
     in the ``BayesianOptimization`` search space format. Otherwise, you
     should instead pass in a Tune search space into ``Tuner(param_space=...)``,
     and the search space will be automatically converted for you.
 
-    See this `BayesianOptimization example notebook
-    <https://github.com/fmfn/BayesianOptimization/blob/master/examples/advanced-tour.ipynb>`_
+    See this ``BayesianOptimization`` example notebook
+    <https://github.com/bayesian-optimization/BayesianOptimization/blob/33b99ec0a4fc51239e1a2fca3eaa37ad6debac5d/examples/advanced-tour.ipynb>`_
     for an example.
 
     Args:
@@ -154,7 +154,7 @@ def __init__(
     ):
         assert byo is not None, (
             "BayesOpt must be installed!. You can install BayesOpt with"
-            " the command: `pip install bayesian-optimization`."
+            " the command: `pip install bayesian-optimization==1.4.3`."
         )
         if mode:
             assert mode in ["min", "max"], "`mode` must be 'min' or 'max'."