- May 18, 2018
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plasky authored
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- May 17, 2018
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Gregory Ashton authored
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Moritz Huebner authored
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Moritz Huebner authored
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Moritz Huebner authored
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Moritz Huebner authored
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- May 16, 2018
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plasky authored
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plasky authored
changed random seed to avoid multi-modal posteriors. Added comments to tutorial so user can understand each step
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Gregory Ashton authored
- If no saved data exists when loading, a valueerror is now raises. This catched that exception to work as expected.
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Gregory Ashton authored
- Adds a filename option for direct loading - Raise an error if no information given
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Moritz Huebner authored
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Moritz Huebner authored
Moritz Huebner: Made sampler.result a property and moved some of the stuff that happens in run_sampler in there.
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Moritz Huebner authored
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Moritz Huebner authored
# Conflicts: # tupak/__init__.py
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Moritz Huebner authored
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Gregory Ashton authored
If DISPLAY environ not found, then default to the Agg matplotlib backend. Useful for running on clusters etc.
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moritz authored
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moritz authored
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moritz authored
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moritz authored
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Gregory Ashton authored
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Gregory Ashton authored
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moritz authored
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moritz authored
Moritz Huebner: reintroduced kwargs property/setter, is probably better because that behaviour is getting inherited
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moritz authored
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Colm Talbot authored
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Colm Talbot authored
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moritz authored
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Gregory Ashton authored
Adds a basic command line interface Closes #68 See merge request Monash/tupak!40
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Gregory Ashton authored
Adds a basic command line interface Closes #68 See merge request Monash/tupak!40
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Gregory Ashton authored
Closes #68 by giving a simple interface to set the log-level (unless set at the script level) and whether or not to use cached data.
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- May 15, 2018
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Gregory Ashton authored
Adding cached data check Closes #64 See merge request Monash/tupak!39
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Gregory Ashton authored
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Gregory Ashton authored
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Gregory Ashton authored
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Gregory Ashton authored
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Gregory Ashton authored
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moritz authored
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Gregory Ashton authored
- If the sampler kwargs are the same - If the search parameter keys are the same MISSING: check the priors. This requires a more detailed look into how to compare our prior distribtions.
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