Comments (1)
You need to give me more information to understand what is going on.
- Which model are you using?
- which IDE do you use?
- Are the IDE and Jupyter lab using the same python version
- have you tried explicitly setting numpy.random.seed? to ensure replicability between both runs?
- If you use Jupyter Notebook instead of Lab, do you have the same issue?
I use jupyter Lab and Eclipse with Pydev as my IDE. I have never experienced the problem you describe.
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Related Issues (20)
- How to re-run experiments?
- Return useful error when sampling multiple policies with no levers defined, or multiple scenarios with no uncertainties defined
- Error during data conversion from Vensim (.vpmx) to Excel
- `test_plot_cdfs` test is extremely slow HOT 9
- Create Parameters with arbitrary shape
- Storing results and memory errors HOT 2
- Running a model for N replications but without iterating over uncertainties or levers HOT 4
- a simple model in vensim HOT 2
- dataframe is highly fragmented: tried to run a system dynamics file made by Vensim software HOT 3
- multiple experiments are not running in the file HOT 2
- Reimplement MultiprocesserEvaluator using ProcessPoolExecutor
- Error during data conversion from Vensim (.vpmx) to Excel
- Add example model and tutorial for Dynamic Adaptive Policy Pathways
- Run examples and Jupyter notebooks in CI
- Speed up onboarding time for new users by at least one order of magnitude HOT 2
- Add connectors for common machine-learning models HOT 1
- Support multiple levels of "acceptability" in PRIM. HOT 1
- Logo HOT 1
- MPI evaluator tutorial crashes on `pass_root_logger_level`
- Update code to be ready for NumPy 2.0
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