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use error #5
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We have fixed the problem, and we suggest that users deploy the MLMD platform on their local laptops. Afterwards, we will provide a robust server for remote use. Thanks. |
Please log into the following URL to access mlmd: http://123.60.55.8/. Thanks for your support! ! ! |
您好,我问一下,这个回归部分如果利用交叉验证训练好的模型,是在model inference 模块去检验模型的泛化性吗,那前面regression部分的数据集就属于训练集了?那么在model inference 部分是直接输入训练集,还是训练集+测试集,这两个方法模型的输出不一样,这是什么原因。第二个问题就是,如果我要预测虚拟成分的性能,好像没有这个功能,所有的数据都需要有对应的性能标签。
…------------------ 原始邮件 ------------------
发件人: "Jiaxuan-Ma/MLMD" ***@***.***>;
发送时间: 2024年3月5日(星期二) 下午3:19
***@***.***>;
***@***.******@***.***>;
主题: Re: [Jiaxuan-Ma/MLMD] use error (Issue #5)
Please log into the following URL to access mlmd: http://123.60.55.8/. Thanks for your support! ! !
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在测试集上inference评估测试集上的预测效果,虚拟成分可以在model inference 部分计算预测结果,model inference上传1:想要预测的数据;2:训练好的模型 感谢使用MLMD进行材料设计,祝使用愉快! |
谢谢,MLMD真的对我帮助很大,再次谢谢您
…---Original---
From: "Bin ***@***.***>
Date: Thu, Mar 21, 2024 18:34 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [Jiaxuan-Ma/MLMD] use error (Issue #5)
您好,我问一下,这个回归部分如果利用交叉验证训练好的模型,是在model inference 模块去检验模型的泛化性吗,那前面regression部分的数据集就属于训练集了?那么在model inference 部分是直接输入训练集,还是训练集+测试集,这两个方法模型的输出不一样,这是什么原因。第二个问题就是,如果我要预测虚拟成分的性能,好像没有这个功能,所有的数据都需要有对应的性能标签。
…
------------------ 原始邮件 ------------------ 发件人: "Jiaxuan-Ma/MLMD" @.>; 发送时间: 2024年3月5日(星期二) 下午3:19 @.>; @.@.>; 主题: Re: [Jiaxuan-Ma/MLMD] use error (Issue #5) Please log into the following URL to access mlmd: http://123.60.55.8/. Thanks for your support! ! ! — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
在测试集上inference评估测试集上的预测效果,预测虚拟成分可以在model inference 部分计算预测结果,model inference上传1:想要预测的数据;2:训练好的模型
感谢实现MLMD进行材料设计,祝使用愉快!
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.Message ID: ***@***.***>
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Unable to access the software
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