uncertainty_quantification_driver.py Command Help

Command: $SCHRODINGER/run uncertainty_quantification_gui_dir/uncertainty_quantification_driver.py

usage: $SCHRODINGER/run uncertainty_quantification_gui_dir/uncertainty_quantification_driver.py
       [-h] [-settings [SETTINGS ...]] [-seed SEED] [-size SIZE]
       [-n_bins N_BINS] [-pool_points POOL_POINTS] [-skip_pool_failures]
       -input_files [INPUT_FILES ...] [-HOST <hostname>]

Driver for uncertainty quantification. Copyright Schrodinger, LLC. All rights
reserved.

options:
  -h, -help             Show this help message and exit.
  -settings [SETTINGS ...]
                        Specify settings using whitespace separated
                        "<key>=<value>" pairs. The "mode" key can take on
                        values "tg" or "yield_strain". The "fit_type" key can
                        take on values "bilinear" or "hyperbolic". For
                        "mode=yield_strain" the key "strain_axis" can take on
                        values "a", "b", "c", or "avg" and the key
                        "strain_component" can take on values "effective",
                        "normal", or "transverse". (default: ['mode=tg',
                        'fit_type=hyperbolic'])
  -seed SEED            Seed for random number generator. (default: 1234)
  -size SIZE            Specify a sample size. (default: 1000)
  -n_bins N_BINS        Specify the number of bins. (default: 25)
  -pool_points POOL_POINTS
                        Specify pool points for the data pooling analysis.
                        Each pool point is specified as 'n,k', where 'n' is
                        the pool size and 'k' is the number of pools of that
                        size. Individual pool points should be separated with
                        a ';'. For example, '2,20;6,10;10,5' means that when
                        performing the pooling analysis the data will be
                        pooled into pools of sizes 2, 6, and 10 each
                        containing 20, 10, and 5 pools, respectively.
                        (default: None)
  -skip_pool_failures   Specifies to skip intermediate fitting failures in the
                        pooling analysis and to only have the job fail if they
                        all fail. Otherwise the job fails at the first pooling
                        analysis failure. (default: False)
  -input_files [INPUT_FILES ...]
                        Specify input files. (default: None)

Job Control Options:
  -HOST <hostname>      Run job remotely on the indicated host entry.
                        (default: localhost)