Revise remark and rebase

Author: JQGoh

nbs/core.ipynb

@@ -552,7 +552,11 @@
     "            if prediction_intervals is not None:\n",
     "                self.prediction_intervals = prediction_intervals\n",
     "\n",
-    "                # copy of model to prevent issue such as https://github.com/Nixtla/neuralforecast/issues/1232\n",
+    "                # copy of model to prevent error during hyperparmeter tuning with Ray\n",
+    "                # ValueError: You passed a `param_space` parameter to `Tuner(...)` with unresolved parameters,\n",
+    "                #  but the search algorithm was already instantiated with a search space. \n",
+    "                # Make sure that `config` does not contain any more parameter definitions \n",
+    "                # - include them in the search algorithm's search space if necessary.\n",
     "                model_copy = deepcopy(self)\n",
     "                self._cs_df = model_copy._conformity_scores(\n",
     "                    df=df,\n",

neuralforecast/core.py

@@ -494,7 +494,11 @@ def fit(
             if prediction_intervals is not None:
                 self.prediction_intervals = prediction_intervals
 
-                # copy of model to prevent issue such as https://github.com/Nixtla/neuralforecast/issues/1232
+                # copy of model to prevent error during hyperparmeter tuning with Ray
+                # ValueError: You passed a `param_space` parameter to `Tuner(...)` with unresolved parameters,
+                #  but the search algorithm was already instantiated with a search space.
+                # Make sure that `config` does not contain any more parameter definitions
+                # - include them in the search algorithm's search space if necessary.
                 model_copy = deepcopy(self)
                 self._cs_df = model_copy._conformity_scores(
                     df=df,