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Files for replicating experiments in "Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks"

Home Page: https://arxiv.org/abs/1806.11015

License: MIT License

Shell 16.21% Python 49.65% R 34.14%

bopc's Introduction

Bayesian optimization of the PC algorithm

These experiments are computationally intensive.

Contents

  • paper_results: experiment results for the figures in the paper.
  • exp_templates: templates for Spearmint (automatically read by launcher.sh)
  • Scripts for launching the experiments (data_sim.R and launcher.sh) and plotting the results (plot_*.R).

Requirements

  • R packages: bnlearn, pcalg, Rserve
  • Python packages: pyRserve, matplotlib
  • Spearmint with PESMOC.

bopc's People

Contributors

eduardogarrido90 avatar

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