0
$\begingroup$

Is there a way to weight instances based upon the values of a feature? For instance for making a sample better resemble a population on certain parameters.

$\endgroup$
  • $\begingroup$ Are these weights static? Or it may change along with the training? $\endgroup$ – Icyblade Feb 26 '17 at 1:45
1
$\begingroup$

Try reading up on Loss/ Cost functions. Samples that are closer to your model will be assigned a smaller cost while others a higher one.

https://en.wikipedia.org/wiki/Loss_function

| improve this answer | |
$\endgroup$
1
$\begingroup$

In Orange documentation - Loading your Data, it says to prefix your column with w# to be marked as instance weights column.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.