gwgen evaluate prepare

The default configuration for EvaluationPreparation instances. See also the EvaluationPreparation.default_config attribute

usage: gwgen evaluate prepare [-h] [-ido str]
                              [-fr { 'scratch' | 'file' | 'db' | None }]
                              [-raw2db] [-raw2csv] [-r str] [-i str]
                              [-f { 'scratch' | 'file' | 'db' | None }]
                              [-to-csv] [-to-db] [-rm] [-sf]

Optional Arguments

-ido, --other_id
	Use the configuration from another experiment

Setup arguments

-fr, --raw-from
	The method how to setup the raw data from GHCN and EECRA ``’scratch’`` To set up the task from the raw data ``’file’`` Set up the task from an existing file ``’db’`` Set up the task from a database ``None`` If the file name of this this task exists, use this one, otherwise a database is provided, use this one, otherwise go from scratch
-raw2db=False	If True, the raw data from GHCN and EECRA is stored in a postgres database
-raw2csv=False	If True, the raw data from GHCN and EECRA is stored in a csv file
-r, --reference
	The path of the file where to store the reference data. If None and not already set in the configuration, it will default to ``’evaluation/reference.csv’``
-i, --input	The path of the file where to store the model input. If None, and not already set in the configuration, it will default to ``’inputdir/input.csv’`` where *inputdir* is the path to the input directory (by default, *input* in the experiment directory)
-f, --from	The method how to setup the instance either from ``’scratch’`` To set up the task from the raw data ``’file’`` Set up the task from an existing file ``’db’`` Set up the task from a database ``None`` If the file name of this this task exists, use this one, otherwise a database is provided, use this one, otherwise go from scratch Possible choices: scratch, file, db
-to-csv=False	If True, the data at setup will be written to a csv file
-to-db=False	If True, the data at setup will be written to into a database
-rm=False, --remove=False
	If True and the old data file already exists, remove before writing to it
-sf=False, --skip-filtering=False
	If True, skip the filtering for the correct stations in the datafile