Comments (2)
From further experiments I am now sure, that this is a problem with the experimental_rerun
in streamlit. If there are no plots contained in the progress-board the recursion error will still occur. Increasing the recursion limit just increases the time before the error starts + the memory usage will increase further over time.
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After trying several different approaches, I came to the conclusion to ditch Streamlit for this live update dashboard because I couldn't implement a satisfactory solution to this problem.
I will reimplement the entire dashboard in panel for Hyperactive v4. Panel seems to be better equipped for live-updates in plots and tables.
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Related Issues (20)
- ValueError: assignment destination is read-only HOT 3
- Dynamic inertia in ParticleSwarmOptimizer HOT 4
- Feature: Passing extra parameters to the optimization function HOT 5
- Optimization in serial? HOT 4
- New feature: save optimizer object to continue optimization run at a later time.
- hyper.results(model) HOT 1
- New feature: Optimization Strategies HOT 1
- add ray multiprocessing support
- Change Optimization paramters at runtime
- Show speed difference between python version
- Question of Particle Swarm Optimizer HOT 6
- Progress Bar visual error when running in parallel HOT 2
- Error when creating shared memory HOT 1
- TypeError: cannot pickle '_thread.RLock' object HOT 5
- Redesign command-line output of optimization run HOT 1
- Add early stopping feature to custom optimization strategies HOT 1
- Add type hints to hyperactive-api HOT 1
- add `prune_search_space`-method to optimization strategies HOT 1
- add constrained optimization to API HOT 1
- Stop verbosity of search HOT 3
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