search

adjidieng / DETM

MIT License
130 stars 39 forks source link

Custom Dataset #2

Open Shiro-LK opened 4 years ago

Shiro-LK commented 4 years ago

Hi,

Thank you for sharing your experimentation.

I wanted to try your experiment on a custom dataset, and I was wondering how to do it.

Should I just modify the "data_acl.py" in order to load my custom dataset and then everything would be straightforward or do you advice some others processing ?

Emekaborisama commented 4 years ago

Hi Shiro

After preparing your data for d-etm (find the script on the 'script folder', you can use acl or undebate cleaning process) You can run d-etm using the main.py, data.py, detm.py and utils.py

Emekaborisama commented 4 years ago

I hope this help @Shiro-LK

Shiro-LK commented 4 years ago

Hi thanks for your answer. I will try that and will let you know. Is it possible with this algorithm to do inference after a training ?

Emekaborisama commented 4 years ago

No, i dont think so but i am working to see how that's possible because the model is saved on .mat file. I will try it

On Mon, 10 Aug 2020 at 10:27, Shiro-LK notifications@github.com wrote:

Hi thanks for your answer. I will try that and will let you know. Is it possible with this algorithm to do inference after a training ?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/adjidieng/DETM/issues/2#issuecomment-671252466, or unsubscribe https://github.com/notifications/unsubscribe-auth/AF255H7GYZCVT3GWANFWA5DR764O7ANCNFSM4ORNIW2A .

-- https://about.me/emekaboris?promo=email_sig&utm_source=product&utm_medium=email_sig&utm_campaign=gmail_api&utm_content=thumb Phone: +2349038954127 Emeka Boris Ama about.me/emekaboris https://about.me/emekaboris?promo=email_sig&utm_source=product&utm_medium=email_sig&utm_campaign=gmail_api&utm_content=thumb