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update test samples
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@ -88,7 +88,7 @@ def model_definition(architecture):
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return model
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return model
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@keras.saving.register_keras_serializable()
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def custom_loss(preprocess, column_dict, h1, h2, h3, scaler_type="minmax", loss_variant="huber", delta=1.0):
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def custom_loss(preprocess, column_dict, h1, h2, h3, scaler_type="minmax", loss_variant="huber", delta=1.0):
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# extract the scaling parameters
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# extract the scaling parameters
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