Virtual Signals panel and importing models

Every model you train - from the single-model dialog or added from a competition leaderboard - becomes a signal in its own Virtual Signals panel, kept separate from formula-based calculated signals. Rename or delete any of them at any time; renaming goes through the same name-uniqueness check used everywhere else, so a virtual sensor signal can never collide with a real channel or a calculated signal.

If you already have a model exported to C, C++, or Python from an earlier session, Virtual Sensor > Import Virtual Sensor... brings it back in: pick the file (and a compiler, for C/C++, with auto-detection and a manual fallback), map its input channels once in the order the model was originally trained on - the exported file itself carries no metadata about channel names or order - and give the result a signal name. The model then runs directly against the currently loaded measurement and the prediction is added as an ordinary, plottable signal. This is prediction reuse, not re-entry into a competition: an imported model is not a competition leaderboard candidate and isn't scored against one.