You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi @qiyang77,
thank you for your message. I just tested the getting_started.py script and did not receive any errors. Could you explain what you mean with "variable is inconsistent"? The results are typically numpy.ndarray within spotpy which can be read/used/plotted in the spotpy.analyser.
Oh I see. It is because the "pip install spotpy" will not install the last version so the tutorial can't be run through. After I installed spotpy manually everything is fine. One issue is that my model is a pytorch-based neural network, and I used the SCE-UA to calibrate seven model parameters, however, the iteration process is very slow. Can we accelerate the neural network inference via batch mode?
Certainly possible. However, there is currently no development on spotpy in that direction. However, feel free to support us with a pull request.
Although I am not sure what you mean with "very slow". Usually, spotpy consumes very little time to produce repetitions, the bottleneck is in the majority of the cases the applied model.
https://spotpy.readthedocs.io/en/latest/getting_started/
Seems like the type of the "results" variable is inconsistent between
results=sampler.getdata()
and
spotpy.analyser.plot_parameterInteraction(results)
The text was updated successfully, but these errors were encountered: