I have a question about multi-label modeling and metadata

kimjk3559

I have a question about multi-label modeling.

I am analyzing data whose output is a graph value.

Usually, I first convert the label values into metadata and then specify the labels in the options of the multi-label modeling operator.

However, because I believed that the graph value data was related to each other, I proceeded with model learning without converting it to metadata.

The model training went well and the model was saved.

However, when I tried to put input into this model and see the predicted value, an error appeared saying that there was no label column.

In my opinion, I think it is strange to request label data from an already trained model just because label data is used for learning.

Did I do something wrong?

Please advise.

thank you