{"id":20644670,"url":"https://github.com/epistasislab/hibachi","last_synced_at":"2025-07-08T12:43:31.759Z","repository":{"id":74011959,"uuid":"80243902","full_name":"EpistasisLab/hibachi","owner":"EpistasisLab","description":"Data simulation software that creates data sets with particular characteristics","archived":false,"fork":false,"pushed_at":"2019-03-06T16:21:42.000Z","size":3625,"stargazers_count":8,"open_issues_count":0,"forks_count":9,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-16T02:08:35.048Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EpistasisLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-01-27T20:37:06.000Z","updated_at":"2021-10-03T18:34:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"95e7ddd7-5e6a-45ec-93b4-0ce69fef7701","html_url":"https://github.com/EpistasisLab/hibachi","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Fhibachi","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Fhibachi/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Fhibachi/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Fhibachi/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EpistasisLab","download_url":"https://codeload.github.com/EpistasisLab/hibachi/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249183105,"owners_count":21226142,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-16T16:17:12.665Z","updated_at":"2025-04-16T02:08:53.909Z","avatar_url":"https://github.com/EpistasisLab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# hibachi\nData simulation software that creates data sets with particular characteristics\n```\nusage: hib.py [-h] [-e EVALUATION] [-f FILE] [-g GENERATIONS]\n              [-i INFORMATION_GAIN] [-m MODEL_FILE] [-o OUTDIR]\n              [-p POPULATION] [-r RANDOM_DATA_FILES] [-s SEED] [-A]\n              [-C COLUMNS] [-F] [-P PERCENT] [-R ROWS] [-S] [-T]\n\nRun hibachi evaluations on your data\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -e EVALUATION, --evaluation EVALUATION\n                        name of evaluation\n                        [normal|folds|subsets|noise|oddsratio]\n                        (default=normal) note: oddsration sets columns == 10\n  -f FILE, --file FILE  name of training data file (REQ) filename of random\n                        will create all data\n  -g GENERATIONS, --generations GENERATIONS\n                        number of generations (default=40)\n  -i INFORMATION_GAIN, --information_gain INFORMATION_GAIN\n                        information gain 2 way or 3 way (default=2)\n  -m MODEL_FILE, --model_file MODEL_FILE\n                        model file to use to create Class from; otherwise\n                        analyze data for new model. Other options available\n                        when using -m: [f,o,s,P,T]\n  -o OUTDIR, --outdir OUTDIR\n                        name of output directory (default = .) Note: the\n                        directory will be created if it does not exist\n  -p POPULATION, --population POPULATION\n                        size of population (default=100)\n  -r RANDOM_DATA_FILES, --random_data_files RANDOM_DATA_FILES\n                        number of random data to use instead of files\n                        (default=0)\n  -s SEED, --seed SEED  random seed to use (default=random value 1-1000)\n  -A, --showallfitnesses\n                        show all fitnesses in a multi objective optimization\n  -C COLUMNS, --columns COLUMNS\n                        random data columns (default=3) note: evaluation of\n                        oddsratio sets columns to 10\n  -F, --fitness         plot fitness results\n  -P PERCENT, --percent PERCENT\n                        percentage of case for case/control (default=25)\n  -R ROWS, --rows ROWS  random data rows (default=1000)\n  -S, --statistics      plot statistics\n  -T, --trees           plot best individual trees\n```\n  Prerequisites:\n```\n  graphviz libraries\n  Python 3.4+ and packages\n    argparse\n    collections\n    csv\n    deap\n    glob\n    itertools\n    math\n    matplotlib\n    networkx\n    numpy \n    operator\n    os\n    pandas\n    pygraphviz\n    random\n    scipy\n    sklearn\n    sys\n    time\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Fhibachi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepistasislab%2Fhibachi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Fhibachi/lists"}