EQL_Tensorflow:方程学习器的 Tensorflow 实现

上传者: 42131013 | 上传时间: 2023-04-12 09:21:48 | 文件大小: 1.7MB | 文件类型: ZIP
。 作者: 、 和 由 、Arnab Bhattacharjee 和。 自主学习小组,智能系统。 目录 介绍 该存储库包含 ICML 2018 论文介绍的 EQL-Div 架构的 TensorFlow 实现。 这项工作提出了一种用于符号回归的神经网络架构。 还有一个Theano 实现,请参阅 martius-lab/EQL 。 用法 准备数据 要么通过调用提供一个python函数来“学习” python3 data_utils.py "{'file_name': 'F1data', 'fn_to_learn': 'F1', 'train_val_examples': 10000, 'test_examples': 5000}" 或使用您自己保存在训练/评估数据文件中的 numpy 数组。 训练个体模型 数据固定后,训练模型 python3 train.py '{"tra

文件下载

资源详情

[{"title":"( 29 个子文件 1.7MB ) EQL_Tensorflow:方程学习器的 Tensorflow 实现","children":[{"title":"EQL_Tensorflow-master","children":[{"title":"utils.py <span style='color:#111;'> 6.56KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 7.63KB </span>","children":null,"spread":false},{"title":"timeout.py <span style='color:#111;'> 846B </span>","children":null,"spread":false},{"title":"evaluation.py <span style='color:#111;'> 10.58KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"data_utils.py <span style='color:#111;'> 11.10KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"model_selection.py <span style='color:#111;'> 4.62KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"example_results","children":[{"title":"F1","children":[{"title":"results.csv <span style='color:#111;'> 69B </span>","children":null,"spread":false},{"title":"graph0_y1.png <span style='color:#111;'> 88.77KB </span>","children":null,"spread":false},{"title":"latex0.png <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"parameters.json <span style='color:#111;'> 728B </span>","children":null,"spread":false}],"spread":true},{"title":"F2","children":[{"title":"results.csv <span style='color:#111;'> 69B </span>","children":null,"spread":false},{"title":"graph_y0.png <span style='color:#111;'> 124.45KB </span>","children":null,"spread":false},{"title":"latex_y0.png <span style='color:#111;'> 6.09KB </span>","children":null,"spread":false},{"title":"parameters.json <span style='color:#111;'> 714B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"EQL_Layer_tf.py <span style='color:#111;'> 6.68KB </span>","children":null,"spread":false},{"title":"example_data","children":[{"title":"F5data_train_val <span style='color:#111;'> 291.74KB </span>","children":null,"spread":false},{"title":"F4data_test <span style='color:#111;'> 89.77KB </span>","children":null,"spread":false},{"title":"F1data_test <span style='color:#111;'> 89.73KB </span>","children":null,"spread":false},{"title":"F4data_train_val <span style='color:#111;'> 180.43KB </span>","children":null,"spread":false},{"title":"F5data_test <span style='color:#111;'> 144.78KB </span>","children":null,"spread":false},{"title":"F3data_test <span style='color:#111;'> 89.86KB </span>","children":null,"spread":false},{"title":"F2data_train_val <span style='color:#111;'> 180.98KB </span>","children":null,"spread":false},{"title":"F3data_train_val <span style='color:#111;'> 180.98KB </span>","children":null,"spread":false},{"title":"F1data_train_val <span style='color:#111;'> 181.01KB </span>","children":null,"spread":false},{"title":"F2data_test <span style='color:#111;'> 89.63KB </span>","children":null,"spread":false}],"spread":true},{"title":"createjobs.py <span style='color:#111;'> 2.10KB </span>","children":null,"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