dcmr-plot-fit#

Create an HTML report with fit diagnostics.

Given fitted data in DATA_FILE, model weights specified in PATTERNS_FILE, and fit results in FIT_DIR, create a report with plots of common summary statistics, fitted parameters, and model diagnostics.

Optionally, statistics may take stimulus category into account if the category option is set and there is a column in DATA_FILE called “category”. These statistics include category clustering and versions of other organization statistics that are split by whether transitions are within- or across-category.

Usage

dcmr-plot-fit [OPTIONS] DATA_FILE PATTERNS_FILE FIT_DIR

Options

-d, --data-filter <data_filter>#: filter to apply to data before plotting

-r, --report-name <report_name>#: name of the report directory

-e, --ext <ext>#: figure file type (default: svg)

-k, --study-keys <study_keys>#: study keys for simulation

--category, --no-category#: include category analyses in report

--similarity, --no-similarity#: include semantic similarity analyses in report

--block, --no-block#: include block analyses in report

--snapshot, --no-snapshot#: include model snapshots in report

Arguments

DATA_FILE#: Required argument

PATTERNS_FILE#: Required argument

FIT_DIR#: Required argument