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# First make sure you are running a Linux OS (required by Singularity) and that Singularity >= 3.2 and Snakemake >= 6.15.0 are installed. $ mkdir benchpress_120 $ tar -xf benchpress_120.tar.gz -C benchpress_120 $ cd benchpress_120 # To reproduce the small scale study of the paper, using all available cores, type $ snakemake --cores all --use-singularity --configfile config/paper_er_sem_small.json # If snakemake is installed in a conda environment called snakemake (as recommended by snakemake) you would have to load it first by $ conda activate snakemake
Benchpress is a snakemake workflow for reproducible and scalable execution and benchmarks of structure learning algorithms for probabilistic graphical models.
Causality, Bayesian networks, Graphical models, Reproducibility, Snakemake
Causality, Bayesian networks, Graphical models, Reproducibility, Snakemake
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 1 |

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