Structural learning

[ChirsEdith]

Hello, I want to know whether the the code in the exaples folder is helpful if I want to do structural learning and inference about DBN.
What's more, I want to know whether this code contains the structure learning part of DBN. Thanks!

[charx7]

Hello, thanks for reaching out, in fact this was my Master thesis project and it is all about structural learning for time series data. You can definitely use them for structural learning and inference, although the implementations are a bit funky, soI'd suggest for you to try them yourself , hit me with your e-mail and I can send you a copy of my thesis if you are interested on it.
Be cautious, because these models take a very long time to fit and they are definitely not scalable (it depends on your use case)

[ChirsEdith]

Hello, thanks for your reply. I would appreciate it if you could send me a copy of your thesis so that I could learn it more. Thanks a lot. 温梦 ***@***.***  

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------------------ 原始邮件 ------------------ 发件人: "charx7/DynamicBayesianNetworks" ***@***.***>; 发送时间: 2023年1月6日(星期五) 凌晨3:17 ***@***.***>; ***@***.******@***.***>; 主题: Re: [charx7/DynamicBayesianNetworks] Structural learning (Issue #2) Hello, thanks for reaching out, in fact this was my Master thesis project and it is all about structural learning for time series data. You can definitely use them for structural learning and inference, although the implementations are a bit funky, soI'd suggest for you to try them yourself , hit me with your e-mail and I can send you a copy of my thesis if you are interested on it. Be cautious, because these models take a very long time to fit and they are definitely not scalable (it depends on your use case) — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***>

[charx7]

hello gh censored your email so please comment here: https://charx7.github.io/post/2/ :D