3. Stages

To keep track of the phase each functionality is called in, we provide a stage parameter. There are three stages:

• training: The stage to train approximator (and related stateful objects, like the adapter)

• validation: Identical setting to training, but calls in this stage should not change the approximator

• inference: Calls in this change should not change the approximator. In addition, the input structure might be different compared to the training phase. For example for sampling, we only provide summary_conditions and inference_conditions, but not the inference_variables, which we want to infer.