CES applied to EDMF for parametric uncertainty #170
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| ParameterDistributions.ParameterDistribution.( | ||
| prior_dict_raw["distributions"], | ||
| prior_dict_raw["constraints"], | ||
| prior_dict_raw["u_names"], | ||
| ) |
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we will have to change this when we use new data (not now). I am now storing the ParameterDistribution object directly.
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I'd like to make a bit of documentation for this example before merge. Could one of you add a little background to start it off? Or could this be obtained by linking to CEDMF or something? |
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new Project and Manifest uq_for_edmf.jl typo short readme clima format added 5-parameter case comment update plotting from saved posterior format rm backup added println addressed PR comments from @szy21 and @ilopezgp docs starter docs/make.jl add solution section typo typo update docs Minor changes to example docs
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bors r+ |
| if !isfile(data_filepath) | ||
| LoadError("experiment data file \"Diagnostics.nc\" not found in directory \"" * exp_dir * "/\"") | ||
| else | ||
| y_truth = Array(NCDataset(data_filepath).group["reference"]["y_full"]) #ndata |
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Does this syntax automatically close the opened files?
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Purpose and Content
To evaluate the efficacy of the E-S stages to an atmospheric calibration problem, where we have data from C-stage
In this PR:
uq_for_EDMF.jlfor running CES and creating output filesplot_posterior.jlfor basic plotting of posterior marginalsTODO:
Current example outputs:
exp_name = ent-det-calibration(takes ~40 mins)exp_name = ent-det-tked-tkee-stab-calibration(takes ~80mins)