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Rob Moss
particle-filter-for-python
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0285ae3daaf1f5ec57d2835d10609015a55991ee
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15
docs/scenario-modelling
feature/adaptive-docs
feature/cache-docs
feature/ctmc-base-class
feature/default-components
feature/hmc
feature/maths-docs
feature/minor-improvements
feature/override-delete
feature/scenario-event-handlers
feature/scipy-dist-wrapper
feature/structured-event-types
feature/sub-simulations
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release/0.6.x
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Adjust tox minimum version requirement
Require all summary allocate() arguments
Skip copying tox artefacts on GitLab CI
Copy tox artefacts for local upstream packages
Retain the original wheel filename
Use a fixed file name for the CI wheel artefact
Relax approximate equality bounds for LHS samples
Build a single wheel for the testing suite
Require tox 4 for running the testing suite
Use tox 4.0 for Gitlab CI
Stop printing test logging messages
Use tox 3.27 for Gitlab CI
Add packaging dependency
Add a regularisation kernel bandwidth setting
Update the particle filter events documentation
Remove requirements.txt
Migrate to new readthedocs build specification
Store all project metadata in pyproject.toml
Getting Started guide: define observation models
Add support for custom ODE solver options
Release pypfilt 0.8.0
0.8.0
0.8.0
Log the number of summary times
Add method Time.time_step_of_next_observation()
Remove Time.with_observation_tables_from_time()
Build docs without installing pypfilt
Draw representative samples for lookup indices
Stop using the deprecated "license_file" option
Bump the package version to 0.8.0-dev
Disable section numbering in the docs
Note that regularisation no longer requires bounds
Support regularisation without bounds
Update the Getting Started guide description
Getting Started guide: use the Lorenz-63 system
Make the Datetime scale support date values
Handle instances with no "summary" settings table
Make write_table() format types appropriately
Remove unused import from pypfilt.model
Return simulation results using structured types
Time scales now yield TimeStep values
Pass a TimeStep instance to Model.update()
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