Comments (3)
First draft is now included. Plotting function for distribution of hyper-parameter(s) not yet included. Still missing documentation.
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Hyper-parameters that are lists are difficult to implement into the raster study. The transition models GaussianRandomWalk and Linear could be altered to affect only one parameter, which can be specified on definition (Combined transition models can be used to affect multiple parameters using different hyper-parameter values).
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Raster study is completed; Change-point study was re-built and is now based on raster study.
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Related Issues (20)
- Update readme and gh-pages HOT 1
- Prior distributions HOT 5
- Add documentation for multiprocessing and saving studies HOT 2
- Add custom time stamps to data HOT 1
- Arbitrary deterministic transition models HOT 1
- Apply seaborn styling only "locally" HOT 1
- Loading data as list fails HOT 1
- Tests for probability parser HOT 1
- Documentation for probability parser HOT 1
- Add support for OnlineStudy in probability parser submodule HOT 1
- Missing tests for Parser using OnlineStudy HOT 1
- No defined order of parameters in SymPy/SciPy models HOT 1
- SymPy observation model tests fail for Python 3.5 HOT 1
- 'dict_keys' object has no attribute 'index' error when following 'Anomalous diffusion' example in docs HOT 3
- Get number positivity HOT 1
- The package is awesome! HOT 1
- Performance HOT 1
- bayesloop module fails to load, pythin 3.7.7 64-bit HOT 2
- Test failing, possibly because of changes to scipy optimize (?) HOT 1
- Using bayesloop with python3.11 does not work HOT 1
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