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Generates empirical data for a simulation structure set of data.
Requires IM_calculation to be complete for all realisations before running.
| Code Block |
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python cybershake_investigation/scripts/gen_empirical.py
<path to the cybershake_root folder>
<path to the list file>
<path to the nhm file>
<Path to the meta_config weight file> (Found in Empirical util, gmm_weights_22p5_meta.yam)
<Path to the model_config weight file> (Found in Empirical util, model_config.yaml)
[--output_dir <Default to cybershake_root / Data / Empirical>]
[--component <Default rotd50>]
[--n_procs <To use multiprocessing, default 1>] |
gen_empirical_archive
Generates empirical data from an archived version of cybershake.
Requires just Source (Realisation csvs) and IM data from an archived version.
| Code Block |
|---|
python cybershake_investigation/scripts/gen_empirical_archive.py
<path to the archive directory>
<path to the site source db commonly used with GMHazard>
<path to the ll file>
<path to the vs30 file>
<path to the z file>
<path to the nhm file>
<path to the meta_config weight file> (Found in Empirical util, gmm_weights_22p5_meta.yam)
<path to the model_config weight file> (Found in Empirical util, model_config.yaml)
<path to the output directory for empirical data>
[--ss_db <path to the site source db commonly used with GMHazard, reduces site source distance calculations needed>]
[--component <Default rotd50>]
[--n_procs <To use multiprocessing, default 1>] |
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