fixing optimizer for tl

skopt/optimizer/optimizer.py

@@ -196,6 +196,8 @@ def __init__(
         del args["self"]
         self.specs = {"args": args, "function": "Optimizer"}
         self.rng = check_random_state(random_state)
+        print(tl_sdv)
+        self.tl_sdv = tl_sdv
 
         # Configure acquisition function
 
@@ -380,12 +382,16 @@ def copy(self, random_state=None):
             acq_func_kwargs=self.acq_func_kwargs,
             acq_optimizer_kwargs=self.acq_optimizer_kwargs,
             random_state=random_state,
-            tl_sdv=self.tl_sdv,
+            tl_sdv=self.tl_sdv
         )
+
         optimizer._initial_samples = self._initial_samples
 
         optimizer.sampled = self.sampled[:]
 
+        if hasattr(self, "tl_sdv"):
+            optimizer.tl_sdv = self.tl_sdv
+
         if hasattr(self, "gains_"):
             optimizer.gains_ = np.copy(self.gains_)
         if self.Xi:

skopt/space/space.py

@@ -286,8 +286,8 @@ def __init__(self, low, high, prior="uniform", base=10, transform=None,
         if high <= low:
             raise ValueError("the lower bound {} has to be less than the"
                              " upper bound {}".format(low, high))
-        if prior not in ["uniform", "log-uniform"]:
-            raise ValueError("prior should be 'uniform' or 'log-uniform'"
+        if prior not in ["uniform", "log-uniform","normal"]:
+            raise ValueError("prior should be 'normal', 'uniform' or 'log-uniform'"
                              " got {}".format(prior))
         self.low = low
         self.high = high
@@ -1080,16 +1080,20 @@ def rvs(self, n_samples=1, random_state=None):
         points : list of lists, shape=(n_points, n_dims)
            Points sampled from the space.
         """
+
         rng = check_random_state(random_state)
         if self.is_config_space:
             req_points = []
             if self.tl_sdv is None:
                 confs = self.config_space.sample_configuration(n_samples)
             else:
-                confs = self.tl_sdv.sample(n_samples) # we have to check and fix this!
+                confs_t = self.tl_sdv.sample(n_samples) # we have to check and fix this!
+                confs = confs_t.to_dict('records')
+                print('successfully sampling with tl_sdv! ')
+
             if n_samples == 1:
                 confs = [confs]
-
+            print(confs[0])
             hps_names = self.config_space.get_hyperparameter_names()
             for conf in confs:
                 point = []
@@ -1101,7 +1105,6 @@ def rvs(self, n_samples=1, random_state=None):
                         val = conf[hps_name]
                     point.append(val)
                 req_points.append(point)
-
             return req_points
         else:
             if self.tl_sdv is None: