lyprox.riskpredictor.management.commands.add_riskmodels

Command to add risk prediction models to database.

Adds definitions of risk models to the database. As with the add_datasets command, this does not actually load and store the model samples in the database. Instead, those are fetched and computed on demand using joblib.

The structure of the command is similar to the add_institutions, add_users, and add_datasets commands. The command can be called with a JSON file containing a list of risk model configurations or with command line arguments to create a single risk model. The output of lyprox add_riskmodels --help is:

usage: lyprox add_riskmodels [-h] (--from-file FROM_FILE | --from-stdin)
                             [--repo-name REPO_NAME] [--ref REF]
                             [--graph-config-path GRAPH_CONFIG_PATH]
                             [--model-config-path MODEL_CONFIG_PATH]
                             [--dist-configs-path DIST_CONFIGS_PATH]
                             [--samples-path SAMPLES_PATH]
                             [--num-samples NUM_SAMPLES] [--version]
                             [-v {0,1,2,3}] [--settings SETTINGS]
                             [--pythonpath PYTHONPATH] [--traceback]
                             [--no-color] [--force-color] [--skip-checks]

Command to add risk prediction models to database.

options:
  -h, --help            show this help message and exit
  --from-file FROM_FILE
                        Path to JSON file with list of risk models.
  --from-stdin          Use command line arguments to create a single risk
                        model.
  --repo-name REPO_NAME
                        Name of git repository.
  --ref REF             Reference of git repository.
  --graph-config-path GRAPH_CONFIG_PATH
                        Path to YAML graph config in git repository.
  --model-config-path MODEL_CONFIG_PATH
                        Path to YAML model config in git repository.
  --dist-configs-path DIST_CONFIGS_PATH
                        Path to YAML distribution configs in git repository.
  --samples-path SAMPLES_PATH
                        Path to YAML params in git repository.
  --num-samples NUM_SAMPLES
                        Number of samples used.
  --version             Show program's version number and exit.
  -v {0,1,2,3}, --verbosity {0,1,2,3}
                        Verbosity level; 0=minimal output, 1=normal output,
                        2=verbose output, 3=very verbose output
  --settings SETTINGS   The Python path to a settings module, e.g.
                        "myproject.settings.main". If this isn't provided, the
                        DJANGO_SETTINGS_MODULE environment variable will be
                        used.
  --pythonpath PYTHONPATH
                        A directory to add to the Python path, e.g.
                        "/home/djangoprojects/myproject".
  --traceback           Raise on CommandError exceptions.
  --no-color            Don't colorize the command output.
  --force-color         Force colorization of the command output.
  --skip-checks         Skip system checks.