An evaluation error can arise when running Predictor Explainer.
Before summarizing, the predictor explainer makes a subset of Y using the last value given in a group (e.g., batch temperature as target, it will try to explain the last value recorded).
If a filter is used to remove previous phases, all the targets will be empty returning this error.
The target value needs to be carefully defined to be the same in the time series table (e.g., col mean(temperature, unique-batch-id))
An evaluation error can arise when running Predictor Explainer.
Before summarizing, the predictor explainer makes a subset of Y using the last value given in a group (e.g., batch temperature as target, it will try to explain the last value recorded).
If a filter is used to remove previous phases, all the targets will be empty returning this error.
The target value needs to be carefully defined to be the same in the time series table (e.g., col mean(temperature, unique-batch-id))