Comments (3)
You are correct that rerunning code that builds the ELFI graph does not replace but appends new nodes. This behaviour is intended and allows flexibility, though it can cause confusion as well.
Add a call to elfi.new_model()
in your script before building the graph.
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That elfi.new_model() should definitely explained more clearly in documentation. I originally encountered this while defining both the simulator and the sampler in the same code shell and run it multiple times while writing the code. I think this is pretty common way to use elfi.
from elfi.
Yes, this can cause confusion, and I have added more explanation in the notebooks. It will take a while to have it updated in readthedocs.
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Related Issues (20)
- threshold value returned when specifying 'n_sim' in Rejection sampler HOT 1
- Use Dask for parallel computing? HOT 5
- Can rejection sampling be done with no explicit passing of observed data to a simulator? HOT 2
- Regression adjustment returns point estimate in specific case HOT 3
- networkx 2 compatibility HOT 3
- stochastic_optimization call to differential_evolution broken in newer scipy HOT 1
- Implement initial standard BSL HOT 1
- Implement initial semiBSL method HOT 1
- Tightly pinned requirements are becoming out of date HOT 2
- elfi.examples docstrings are missing details HOT 1
- BOLFIRE target nodes
- Extend sample result summaries HOT 1
- Issue in trying to setup RandMaxVar in BOLFI HOT 4
- Require `plot_gp` inputs `const` and `bounds` to be given as dictionaries
- Random variation in default kernel parameters
- BOLFI posterior.py logging
- Processing failed simulations / samples HOT 2
- BOLFI fails if numpy version is >= 1.20 HOT 1
- Basic rejection method of inferring parameters of an SIR disease model HOT 4
- import elfi fails HOT 1
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