idq-batch

describe script, which modules it relies upon, etc

digraph idq_batch { labeljust = "r"; label="" rankdir=LR; graph [fontname="Roman", fontsize=24]; edge [ fontname="Roman", fontsize=10 ]; node [fontname="Roman", shape=box, fontsize=11]; style=rounded; labeljust = "r"; fontsize = 14; DataSrc [label="auxiliary features"]; Model [label="model"] Quiver [label="quiver"]; CalibMap [label="calibration map"]; Train [label="idq-train"]; Evaluate [label="idq-evaluate"]; Calibrate [label="idq-calibrate"]; Timeseries [label="idq-timeseries"]; PGlitch [label="p(glitch) timeseries"]; DataSrc -> Train; Train -> Model; DataSrc -> Evaluate; Model -> Evaluate; Evaluate -> Quiver; Quiver -> Calibrate; Calibrate -> CalibMap; DataSrc -> Timeseries; Model -> Timeseries; CalibMap -> Timeseries; Timeseries -> PGlitch; }

usage: idq-batch [-h] [-q | -v] [-w WORKFLOW] [-i INITIAL_LOOKBACK]
                 [--skip-timeseries] [--skip-report] [-c] [-n NUM_BINS]
                 [-N NUM_SEGS_PER_BIN] [-b]
                 CONFIG START END

positional arguments:
  CONFIG
  START
  END

options:
  -h, --help            show this help message and exit
  -q, --quiet           If set, only display warnings and errors.
  -v, --verbose         If set, display additional logging messages.
  -w WORKFLOW, --workflow WORKFLOW
                        workflow for launching batch jobs
  -i INITIAL_LOOKBACK, --initial-lookback INITIAL_LOOKBACK
                        if causal batch is specified, that look back this much
                        before t_start to use as a seed to evaluate starting
                        at t_start.
  --skip-timeseries     do not generate timeseries
  --skip-report         do not generate report
  -c, --causal          use causal round-robin binning
  -n NUM_BINS, --num-bins NUM_BINS
                        the number of round-robin bins to generate.Divisions
                        are made according to walltime
  -N NUM_SEGS_PER_BIN, --num-segs-per-bin NUM_SEGS_PER_BIN
                        the number of segments per bin within the round-robin
                        procedure. If this is greater than 1, segments will be
                        organized in a checkerboard pattern in order to sample
                        from the entire range in both training and evaluation.
                        Note, this is only used if --causal is NOT supplied.
  -b, --block           if supplied, this process will block until the DAG has
                        completed. Used when workflow=condor.