From a133947b424cbe4f057f816eb387db96d5f8d424 Mon Sep 17 00:00:00 2001
From: gehbiszumeis <16896724+gehbiszumeis@users.noreply.github.com>
Date: Fri, 29 Oct 2021 13:35:13 +0200
Subject: [PATCH] Y_metadata conversion from serializable to np.array when
 loading from dict

---
 GPy/core/gp.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/GPy/core/gp.py b/GPy/core/gp.py
index 5adc8ce4..62fd43b7 100644
--- a/GPy/core/gp.py
+++ b/GPy/core/gp.py
@@ -163,9 +163,10 @@ class GP(Model):
             input_dict["mean_function"] = mean_function
         input_dict["inference_method"] = GPy.inference.latent_function_inference.LatentFunctionInference.from_dict(input_dict["inference_method"])
 
-        #FIXME: Assumes the Y_metadata is serializable. We should create a Metadata class
-        Y_metadata = input_dict.get("Y_metadata")
-        input_dict["Y_metadata"] = Y_metadata
+        # converts Y_metadata from serializable to array. We should create a Metadata class
+        # Y_metadata = input_dict.get("Y_metadata")
+        # input_dict["Y_metadata"] = Y_metadata
+        input_dict["Y_metadata"] = {k: np.array(input_dict['Y_metadata'][k]) for k in input_dict['Y_metadata'].keys()}
 
         normalizer = input_dict.get("normalizer")
         if normalizer is not None: