Needed for my modeling paper. Should enable specification in the main.yaml file
for a project of what models to enable/run (or maybe just run all models it
finds; need a cmdline disable then). All models run during graph generation.
A model for a univariate batch criteria should get/needs:
A list of .csv files containing the experimental input data for the model
A .csv output stem for which graph the model should be added to.
What the resulting curve should be labeled on the graph
When running graph generation, linegraphs should check for a '.model' file just
like they check for a '.stddev' file. Heatmaps should generate TWO new images:
one for the model prediction, and one for the error/deviation from experimental
results (e.g. for swarm 2D distribution).
I don't think I should try to set this up to work with bivariate batch
criteria.
Needed for my modeling paper. Should enable specification in the main.yaml file for a project of what models to enable/run (or maybe just run all models it finds; need a cmdline disable then). All models run during graph generation.
A model for a univariate batch criteria should get/needs:
When running graph generation, linegraphs should check for a '.model' file just like they check for a '.stddev' file. Heatmaps should generate TWO new images: one for the model prediction, and one for the error/deviation from experimental results (e.g. for swarm 2D distribution).
I don't think I should try to set this up to work with bivariate batch criteria.