mace:模型不可知反事实解释

上传者: 42160398 | 上传时间: 2023-04-27 15:17:44 | 文件大小: 3.7MB | 文件类型: ZIP
一般的 该存储库提供了代码和示例,用于生成最接近的反事实说明和最少的后续干预措施。 支持以下论文: (4c691b4 @ ) (9387e6c @ ) 代码先决条件 第一的, $ git clone https://github.com/amirhk/mace.git $ pip install virtualenv $ cd mace $ virtualenv -p python3 _venv $ source _venv/bin/activate $ pip install -r pip_requirements.txt $ pysmt-install --z3 --confirm-agreement 然后参考 $ python batchTest.py --help 并运行如下 $ python batchTest.py -d * dataset * -m * mod

文件下载

资源详情

[{"title":"( 54 个子文件 3.7MB ) mace:模型不可知反事实解释","children":[{"title":"mace-master","children":[{"title":".gitignore <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"batchTest.py <span style='color:#111;'> 11.91KB </span>","children":null,"spread":false},{"title":"mergeBatchTests.py <span style='color:#111;'> 4.50KB </span>","children":null,"spread":false},{"title":"modelConversion.py <span style='color:#111;'> 21.73KB </span>","children":null,"spread":false},{"title":"loadData.py <span style='color:#111;'> 45.45KB </span>","children":null,"spread":false},{"title":"generateSATExplanations.py <span style='color:#111;'> 34.82KB </span>","children":null,"spread":false},{"title":"_depAnalyzeResults.py <span style='color:#111;'> 19.49KB </span>","children":null,"spread":false},{"title":"test.sub <span style='color:#111;'> 181.53KB </span>","children":null,"spread":false},{"title":"generateMOExplanations.py <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"_data_main","children":[{"title":"_cached","children":[{"title":".gitignore <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":true},{"title":"credit_raw.csv <span style='color:#111;'> 2.73MB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"process_credit_data.py <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"process_german_data.py <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false},{"title":"process_random_data.py <span style='color:#111;'> 13B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"loadCausalConstraints.py <span style='color:#111;'> 13.77KB </span>","children":null,"spread":false},{"title":"process_twomoon_data.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"process_test_data.py <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"credit_processed.csv <span style='color:#111;'> 1.11MB </span>","children":null,"spread":false},{"title":"fair_adult_data.py <span style='color:#111;'> 13.85KB </span>","children":null,"spread":false},{"title":"compas-scores-two-years.csv <span style='color:#111;'> 2.43MB </span>","children":null,"spread":false},{"title":"process_mortgage_data.py <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"german_raw.csv <span style='color:#111;'> 79.78KB </span>","children":null,"spread":false},{"title":"fair_utils_data.py <span style='color:#111;'> 1.66KB </span>","children":null,"spread":false},{"title":"adult.data <span style='color:#111;'> 3.79MB </span>","children":null,"spread":false},{"title":"german_processed.csv <span style='color:#111;'> 18.39KB </span>","children":null,"spread":false},{"title":"fair_compas_data.py <span style='color:#111;'> 8.48KB </span>","children":null,"spread":false},{"title":"adult.test <span style='color:#111;'> 1.91MB </span>","children":null,"spread":false}],"spread":false},{"title":"pip_requirements.txt <span style='color:#111;'> 494B </span>","children":null,"spread":false},{"title":"_depConvertOldTestsToNewTests.py <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"createSubFile.py <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false},{"title":"analyzeResults.py <span style='color:#111;'> 42.48KB </span>","children":null,"spread":false},{"title":"loadModel.py <span style='color:#111;'> 8.23KB </span>","children":null,"spread":false},{"title":"debug.py <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"_cluster_logs","children":[{"title":".gitignore <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":false},{"title":"_results","children":[{"title":".gitignore <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":false},{"title":"_experiments","children":[{"title":".gitignore <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":false},{"title":"treeUtils.py <span style='color:#111;'> 4.72KB </span>","children":null,"spread":false},{"title":"generateARExplanations.py <span style='color:#111;'> 7.70KB </span>","children":null,"spread":false},{"title":"generateFTExplanations.py <span style='color:#111;'> 11.51KB </span>","children":null,"spread":false},{"title":"normalizedDistance.py <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"distances.png <span style='color:#111;'> 107.48KB </span>","children":null,"spread":false},{"title":"_data_other","children":[{"title":"uci_german_numeric.csv <span style='color:#111;'> 95.70KB </span>","children":null,"spread":false},{"title":"uci_credit.csv <span style='color:#111;'> 31.46KB </span>","children":null,"spread":false},{"title":"uci_credit.doc <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"uci_german.doc <span style='color:#111;'> 4.34KB </span>","children":null,"spread":false},{"title":"ustun_credit.csv <span style='color:#111;'> 2.73MB </span>","children":null,"spread":false},{"title":"uci_german.csv <span style='color:#111;'> 77.92KB </span>","children":null,"spread":false}],"spread":false},{"title":"_hooks","children":[{"title":"pre-push <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"checkDistanceOptimality.py <span style='color:#111;'> 5.12KB </span>","children":null,"spread":false},{"title":"old_minimum_distances <span style='color:#111;'> 239.78KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明