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Y_metadata conversion from serializable to np.array when loading from dict

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gehbiszumeis 2021-10-29 13:35:13 +02:00
parent 49e272c449
commit a133947b42
1 changed files with 4 additions and 3 deletions
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7
GPy/core/gp.py
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@ -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: