issues
search
dflemin3
/
approxposterior
A Python package for approximate Bayesian inference and optimization using Gaussian processes
https://dflemin3.github.io/approxposterior/
MIT License
41
stars
9
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
bug fix: wrong returned shape by `_grad_nll`
#73
syrte
closed
10 months ago
0
Unnecessary creation of a new GP object in `findNextPoint`
#72
syrte
opened
3 years ago
0
Single parameter inference causes ValueError
#71
mrhheffernan
closed
3 years ago
0
fix ndim=1 error in samplerKwargs
#70
jbirky
closed
3 years ago
1
Adding basic functionality for object-oriented priors
#69
jlustigy
closed
4 years ago
0
Fixing Issue 67
#68
dflemin3
closed
4 years ago
0
Don't use nbsphinx_prompt_width to hide prompts
#67
mgeier
closed
4 years ago
1
Added caching for convergence diagnostics
#66
dflemin3
closed
4 years ago
0
Made burnin estimation its own function, added a test
#65
dflemin3
closed
4 years ago
0
Standardize code formatting
#64
dflemin3
opened
4 years ago
0
Patch: Fix issue #62
#63
dflemin3
closed
4 years ago
0
Add a warning for when the GP optimization optGPEveryN > m
#62
dflemin3
closed
4 years ago
1
Parallel approxposterior using python 3.8+ multiprocessing
#61
dflemin3
opened
4 years ago
0
Docs, test fixes before v0.4
#60
dflemin3
closed
4 years ago
0
Adding bayesian optimization, new tests
#59
dflemin3
closed
4 years ago
0
Adding simple convergence check
#58
dflemin3
closed
4 years ago
0
Setting the stage for full Bayesian optimization
#57
dflemin3
closed
4 years ago
0
pre-v0.3 docs improvements
#56
dflemin3
closed
4 years ago
0
Major upgrade to GP fitting, tests
#55
dflemin3
closed
4 years ago
0
streamlining approxposterior
#54
dflemin3
closed
4 years ago
0
updating documentation, notebooks
#53
dflemin3
closed
4 years ago
0
Major stability improvement
#52
dflemin3
closed
4 years ago
0
MAINT: docs update
#51
dflemin3
closed
4 years ago
0
updating API to bleeding edge version
#50
dflemin3
closed
4 years ago
0
Add MultiNest for posterior retreival
#49
dflemin3
opened
5 years ago
1
Removed deprecated comments, added new ap.run kwarg
#48
dflemin3
closed
5 years ago
0
MAINT: merging quality of life changes from dev to master
#47
dflemin3
closed
5 years ago
0
Use latin hypercube sampler to initialize GP optimizations
#46
jlustigy
closed
4 years ago
1
Can't clone from git@github.com:dflemin3
#45
tomr-stargazer
closed
5 years ago
1
Add bounds, scale to ApproxPosterior object?
#44
dflemin3
closed
5 years ago
1
Utility functions for training set initialization
#43
dflemin3
closed
5 years ago
1
Explore approxposterior parallelization paradigm
#42
jlustigy
closed
4 years ago
1
Cross-Validation to select GP hyperparameters
#41
dflemin3
closed
5 years ago
1
Implement Bayesian Optimization
#40
dflemin3
closed
4 years ago
2
Use other regression algorithms besides the GP for logprobability predictions
#39
dflemin3
closed
4 years ago
1
Scaling parameter values to improve GP hyperparameter optimization
#38
dflemin3
closed
5 years ago
1
improved utility function minimization, fix to issue 36
#37
dflemin3
closed
5 years ago
0
Let users set the name of the output files
#36
jlustigy
closed
5 years ago
1
Multiprocessing is slow: too much overhead spinning up new processes
#35
dflemin3
closed
4 years ago
2
prepping for v0.2 release
#34
dflemin3
closed
5 years ago
0
updating install instructions
#33
dflemin3
closed
5 years ago
0
conda installation is broke
#32
dflemin3
closed
4 years ago
2
Major docs changes, adding new GP initialization test, and tweaks to multiprocessing
#31
dflemin3
closed
5 years ago
0
Setting nCores < 0 tells code to use all usable codes
#30
dflemin3
closed
5 years ago
0
Major v0.2rc0 merge
#29
dflemin3
closed
5 years ago
0
Optimize the GP less
#28
dflemin3
closed
5 years ago
1
Add run_mcmc method
#27
dflemin3
closed
5 years ago
1
Add support to handle/save blobs
#26
dflemin3
closed
5 years ago
1
Discarding unimportant parameters
#25
RoryBarnes
closed
4 years ago
1
Posterior Fitting Test
#24
dflemin3
closed
5 years ago
1
Next