This repository contains a Dockerfile to describe the necessary steps to setup the environment.
To install this project as a package with pip
, R package pcalg has to be installed manually.
python -m circa.experiment generate
# Explore parameter combinations
python -m circa.experiment --max-workers 16 --model-params params-sim-tune.json tune
# Explore all the datasets with pre-defined parameters
python -m circa.experiment --model-params params-sim-run.json run
# Robustness evaluation
python -m circa.experiment robustness
Execute Rscript img/draw.sim.R
to produce summaries under img/output
.
params-sim-run.json
is created according toimg/output/best-sim-tuning.tex
- To create parameter template, execute the following command
python -m circa.experiment params > default.json