Saved genome provides consistent result that don't match the ones it got during training

[voiceofthedead]

The problem is mostly covered in the title. I've trained a genome on a specific set of data, but when I connect the library into a different project and try to backtest it on the same set of data, the results are consistent from run to run, but don't match the one that occurred during the learning process. Any suggestions on how could that come about ?

[colgreen]

Is it a cyclic/recurrent network, or an acyclic net?

[voiceofthedead]

It's set as acyclic in the config file

[colgreen]

I wonder - does your fitness function have state that needs resetting?

[voiceofthedead]

It did at some point, but I figured out that it caused an issue, so now everything that's going to be changed in the process of calculating fitness is populated at the beginning of RunTrial and stored locally in the method, so not anymore

[voiceofthedead]

Any other ideas perchance ?

[voiceofthedead]

Switching to cyclic didn't influence the issue btw