I was trying to create a machine learning which is simply to identify a distinct record
Below is my data:
In my index, I have 20 documents, and 7 fields
Codenum is a keyword
A,B,C,V+,V-,P are boolean
only the first and second documents' C field and P field are different from the other 18 documents
my goal is to see if Elastic ML can identify that document 1 and document 2 is different from others
but I have encouter the following issue:
it says my data has no numeric value and data cannot have keyword, I am not sure how can fix it,
Can anyone help?
Outlier detection requires the field types to be either
Can you change the field
2 and set the field type accordingly? or is the 'code' portion of the value important in this scenario?
Hi @eMitch ,
Thanks for the reply.
The Codenum field is like an identifier for me to know which device has problem.
if getting rid of it, I think there would be a way to identifer which device has distinct pattern
Yea, that makes sense. I don't mean to remove the field. However, if you change the mapping to an integer, you can still filter on it as well as allow the ML to work properly.
I got your point, and I have a try. now it works as expected!
This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.