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| = Experiment scripts = | = Fast Downward experiments = |
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| In the directory "new-scripts" you find some scripts that facilitate conducting experiments. An experiment is conducted in three stages: Generation of experiments, fetching of results and production of reports. Each stage has its own generic main module: `experiments.py`, `resultfetcher.py`, `reports.py`. These modules provide useful classes and methods and can be imported by scripts that actually define concrete actions. For the fast downward planning system the example scripts that use these modules are `downward-experiments.py`, `downward-resultfetcher.py`, `downward-reports.py`. The first one can be seen as a reference example for own experiments, the other two can be used as they are from the commandline. Passing `-h` on the commandline gives you an overview of each script's commands. == Generate an experiment == {{{ ./downward-experiments.py test-exp -c cea -s TEST }}} Generates a simple planning experiment with the configuration cea and the suite TEST in the directory "test-exp". == Fetch and parse results == {{{ ./downward-resultfetcher.py test-exp }}} Traverses the directory tree under "test-exp" and parses == Make reports == {{{ ./downward-reports.py test-exp-eval }}} |
We recommend using the {{{downward}}} package for running Fast Downward experiments. It is part of {{{lab}}}, a python library for running code on large benchmark sets. Experiments can be run either locally or on a computer cluster. You can find the code at https://bitbucket.org/jendrikseipp/lab. The documentation is available at http://lab.rtfd.org. |
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Fast Downward experiments
We recommend using the downward package for running Fast Downward experiments. It is part of lab, a python library for running code on large benchmark sets. Experiments can be run either locally or on a computer cluster. You can find the code at https://bitbucket.org/jendrikseipp/lab. The documentation is available at http://lab.rtfd.org.