Get the Codebooks

[sevamoo]

    Hello  Vahid Moosavi,

Thank you for inventing this great sompy package. It was very useful to me. I have been using it for my article publication and it will be referenced duly.

However I have one problem understanding the component planes. My input variables are many, hence deciphering the patterns to associations just from the component planes is very cumbersome. I need help on the sompy command which I can use to get the results from the component planes so I can do statistical inferences on it.

I want to know if there is a way out to get this problem resolved. I will be glad if my requisition is given the due clarification.

Counting on your cooperation. Thank you

Best Regards,
John Owusu

Originally posted by @nanakayhacker in #128 (comment)

[sevamoo]

Hi, I moved this here, as the topic was irrelevant to the other issue.

At any stage of a SOM object (either before, during or after training) you can get the node weight vectors which are usually called "codebook".
codebook = som.codebook.matrix
Hope this helps @nanakayhacker
Best
Vahid

[nanakayhacker]

Thank you Mr Vahid for your response. It came at the right time. I will oblige to your directive so to solve this issue as soon as possible. I will write back to you on the state of this solution pertinent to my problem. Happy new year! Best Regards, John

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On Thu, Dec 29, 2022, 2:01 PM Vahid Moosavi ***@***.***> wrote: Hi, I moved this here, as the topic was irrelevant to the other issue. At any stage of a SOM object (either before, during or after training) you can get the node weight vectors which are usually called "codebook". codebook = som.codebook.matrix Hope this helps. Best Vahid — Reply to this email directly, view it on GitHub <#134 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AE4PFCNWVZ3X2WZWLTNZFOLWPWKSFANCNFSM6AAAAAATMDX5OU> . You are receiving this because you were mentioned.Message ID: ***@***.***>