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6-181-罗义小可/基于LSTM时间序列预测(简单又好用)无脑代码,使用很简单,跟着注释和使用手册用就行.

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MIT License Copyright (c) 2023 蒋茂苇 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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基于LSTM时间序列预测Python程序 简介: 1、单变量,多变量输入,自由切换 2、单步预测,多步预测,自动切换 3、基于Pytorch架构,单输出 4、多个评估指标(MAE,MSE,R2,MAPE等) 5、数据从excel/csv文件中读取,更换简单 6、标准框架,数据分为训练集、验证集,测试集 展开 收起
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LSTM
基于LSTM时间序列预测(简单又好用)无脑代码,使用很简单,跟着注释和使用手册用就行.
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