Input Format ============ Supported file-formats for configurator-output are currently the output of `SMAC2 `_, `SMAC3 `_ and `BOHB `_, as well as csv-data formatted as specified below. The file-format should be detected automatically. If that fails, please report this as an issue with a minimum working example. *SMAC3* ~~~~~~~ Relevant files for the analysis of *SMAC3* (relative to the specified folder) are: - scenario.txt - runhistory.json - traj_aclib2.json - validated_runhistory.json (optional) plus the files specified in the scenario.txt (pcs_fn.pcs, instance- and instancefeature-fn.txt, ...) *BOHB* ~~~~~~ To analyzer BOHB-results, you need to run BOHB with a result-logger (`check here `_ for an example on how to do it). The folder you specify must contain: - configs.json - results.json - configspace.pcs *configs.json* and *results.json* will be automatically logged by the result-logger. Save a ConfigSpace `config_space` in a directory `output_dir` using .. code-block:: python from ConfigSpace.read_and_write import json with open(output_dir, 'w') as fh: fh.write(json(config_space)) *CSV* ~~~~~ Comma-separated values give the opportunity to parse all the rundata in a very simple format. A scenario-file (and therein specified files) is still required. `runhistory.csv` substitutes the runhistory, each line representing one target algorithm run. The first line of the file is the header, with the following entries: `cost`, `time`, `status`, `seed`, `config_id` and `instance_id`. Also `budget` is supported, but optional. When specifying `config_id`, the specified folder must also contain a `configurations.csv`. If you use `instance_id`-columns, the instance_ids must be the same that are specified in the instance-feature-file. `instance_features.csv` (path for instance_features is used from provided scenario): +-------------+-----------------+-----------------+-----+ | INSTANCE_ID | inst_feat_name1 | inst_feat_name2 | ... | +=============+=================+=================+=====+ | 0 | value1 | value2 | ... | +-------------+-----------------+-----------------+-----+ | ... | ... | ... | ... | +-------------+-----------------+-----------------+-----+ `configurations.csv`: +-----------+-----------------+-----------------+-----+ | CONFIG_ID | parameter_name1 | parameter_name2 | ... | +===========+=================+=================+=====+ | 0 | value1 | value2 | ... | +-----------+-----------------+-----------------+-----+ | ... | ... | ... | ... | +-----------+-----------------+-----------------+-----+ `runhistory.csv`: +--------------------+--------------------+------+------+------+--------+----------+ | config_id | instance_id | cost | time | seed | status | (budget) | +====================+====================+======+======+======+========+==========+ | name of config 1 | name of instance 1 | ... | ... | ... | ... | ... | +--------------------+--------------------+------+------+------+--------+----------+ | ... | ... | ... | ... | ... | ... | ... | +--------------------+--------------------+------+------+------+--------+----------+ `trajectory.csv`: +----------+------+----------------+-----------+----------+ | cpu_time | cost | wallclock_time | incumbent | (budget) | +==========+======+================+===========+==========+ | ... | ... | ... | ... | ... | +----------+------+----------------+-----------+----------+ Alternatively CAVE can also read in one `runhistory.csv`-file containing all the information about parameters and instances, in this case the file `configurations.csv` is not needed. See below for example: `runhistory.csv`: +------+------+------+--------+----------+------------+------------+-----+------------+------------+-----+ | cost | time | seed | status | (budget) | parameter1 | parameter2 | ... | inst_feat1 | inst_feat2 | ... | +======+======+======+========+==========+============+============+=====+============+============+=====+ | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | +------+------+------+--------+----------+------------+------------+-----+------------+------------+-----+ `trajectory.csv`: +----------+------+----------------+----------+------------+------------+-----+ | cpu_time | cost | wallclock_time | (budget) | parameter1 | parameter2 | ... | +==========+======+================+==========+============+============+=====+ | ... | ... | ... | ... | ... | ... | ... | +----------+------+----------------+----------+------------+------------+-----+ *APT* ~~~~~ **NOTE** *Auto-PyTorch is still in alpha at the time of writing. Therefore, this describes more of a sketch and will likely not reflect the current status of development. The last known working version of Auto-PyTorch is https://github.com/automl/Auto-PyTorch/commit/a39012ff464a02eead9315a00179812206235f25* Relevant files for the analysis of *APT* are: - configs.json, results.json (same format as in *BOHB*) - configspace.json - autonet_config.json - results_fit.json For an example on how to use it, check `the notebook `_. *SMAC2* ~~~~~~~ **NOTE** *The SMAC2 format is not extensively tested, but expected to work. If you experience any problems, please report them to CAVE's issue tracker.* Relevant files for the analysis of *SMAC2* (relative to the specified folder with ??? as wildcards for digits) are: - scenario.txt - run_and_results-it???.csv - paramstrings-it???.txt - ../traj-run-?.txt plus the files specified in the scenario.txt (pcs_fn.pcs, instance- and instancefeature-fn.txt, ...)