Open marcosfelt opened 1 year ago
Hey @marcosfelt,
I've started working on this issue. The plan is to modify the train
method in the ExperimentalEmulator
class to check if the emulator has already been trained. If it has, we'll skip the retraining process.
Give me a minute!
I'm a bot that handles simple bugs and feature requests but I might make mistakes. Please be kind!
ExperimentalEmulator should not be retrained on reinitialization (see
summit/benchmarks/experimental_emulator.py
). See:https://github.com/sustainable-processes/summit/blob/8b987dee789eeb6e7e87184e935425330e2501f5/summit/benchmarks/experimental_emulator.py#L308-L317