Add interfaces for MLModel, MLModel.ModelInput, MLModel.ModelOutput generated classes

Is your feature request related to a problem? Please describe.
I have multiple models trained on a dataset that have multiple labels. I disable all of them and enable one of them at a time, do the training, and then enable only the next one, do the training etc.
I end up with multiple trained models and their respective generated classes for consumption.

Describe the solution you'd like
It would be great to have a common interface for the MLModel, MLModel.ModelInput and MLModel.ModelOutput classes, because when I need to consume them that would simplify my code significantly.

Describe alternatives you've considered
I can still use them separately, but this causes code duplication and code management difficulties.

Additional context
I would only need a definition on the interface of the MLModel for the IModelOutput Predict(IModelInput input) method, and the Score property on the interface of the ModelOutput.

まず、生成された MLModel、MLModel.ModelInput、MLModel.ModelOutput クラスがどのように生成されるかを特定し、次に関連する生成エントリポイントを確認します。生成されたモデルが、Predict(IModelInput input) と ModelOutput の Score プロパティを含む、要求された共通インターフェイスを公開し、コンシューマー固有のコードを重複させない状態になれば、作業は完了です。