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mono-gaussian-processes:单调和单峰高斯过程的Stan模拟
共75个文件
png:21个
stan:10个
ipynb:9个
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2021-05-02
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单高斯过程 单调和单峰高斯过程的Stan模拟。
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mono-gaussian-processes-master.zip (75个子文件)
mono-gaussian-processes-master
Unimodality with GP
Fig
Wed Feb 7 17:10:36 2018 Input data points.png 41KB
Wed Feb 7 19:20:43 2018 Posterior.png 179KB
GP with support GP parameters.ipynb 277KB
Unimodality
Fig
Wed Feb 7 15:15:29 2018 Posterior.png 129KB
Tue Feb 6 11:20:09 2018 Input data points.png 34KB
GP with Unimodality.ipynb 276KB
suppGP_inducing_vs_fit_20_points.png 134KB
Report
main.pdf 219KB
images
monotonicity.png 43KB
err_curve.png 43KB
err_curve_inp.png 23KB
suppGP_psuedo_vs_fit.png 141KB
jmlr2e.sty 13KB
main.tex 4KB
main.synctex.gz 27KB
code plot gen
.ipynb_checkpoints
Data generation.-checkpoint.ipynb 334KB
Monotonicity fig1-checkpoint.ipynb 77KB
Monotonicity fig1.ipynb 78KB
monotonicity.png 43KB
Data generation..ipynb 334KB
main.out 451B
main.bbl 928B
main.blg 977B
texfiles
experiments.tex 772B
unimodality.log 35KB
unimodality.tex 1KB
related.log 110KB
introduction.tex 622B
experiments.log 26KB
conclusion.tex 0B
related.tex 3KB
introduction.log 21KB
references.bib~ 820B
Stan files
pkl_cache
cached-model-43bdf376c711dbb8f6f88f8d939882be.pkl 1.9MB
cached-model-5eb1655de0bca0c2dd89be71762dc63c.pkl 1.87MB
cached-model-4fb8747d9cf8a1969899a84b7886e522.pkl 1.92MB
cached-model-873d47ebbc45f3f993d47baaef9335a8.pkl 1.92MB
cached-model-fed72166259f1b5a22564d7e87fca81a.pkl 1.83MB
cached-model-8cac49cc7c22c80f62217463ffdc6101.pkl 1.87MB
main.log 16KB
main.aux 2KB
texput.log 750B
references.bib 1KB
f.npy 608B
Data generation..ipynb 238KB
Unimodality with GP with linear mean function
Fig
Thu Feb 8 11:55:24 2018 Input data points.png 42KB
Thu Feb 8 16:57:54 2018 Posterior.png 179KB
GP with support GP with linear mean function.ipynb 283KB
y.npy 608B
README.md 89B
x.npy 608B
Error Curve.png 63KB
Input.png 14KB
Triton
job.sh 351B
Triton Readme.md 0B
Input distribution.png 17KB
error_curves.png 34KB
err_curve.py 4KB
run_parallel.sh 315B
Stan files
prior with support GP with linear mean.stan 3KB
prior uni.stan 2KB
prior.stan 1013B
prior mono.stan 2KB
posterior with support GP.stan 3KB
posterior mono.stan 2KB
posterior.stan 1KB
posterior uni.stan 2KB
posterior with support GP with linear mean.stan 3KB
prior with support GP.stan 3KB
Monotonicity
Fig
Input Sun Feb 4 00:34:53 2018.png 37KB
Prior Sun Feb 4 00:33:11 2018.png 213KB
Sun Feb 4 00:50:49 2018 Posterior.png 179KB
GP with monotonicity constraint.ipynb 441KB
Training points 20.png 6KB
Error vs inducing points - 20 datapoints.png 14KB
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