We have the weighting algorithms implemented in linear models, but
unfortunately, it's not implemented in tree models. It's an important
feature, and welcome for PR! Thanks.
Sincerely,
DB Tsai
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Web: https://www.dbtsai.com
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Hi ,
in sicki-learn we have sample_weights option that allow us to create array
to balacne class category
By calling like that
rf.fit(X,Y,sample_weights=[10 10 10 ...1 1 10 ])
i 'am wondering if equivelent exist inside ml or mlib class ???
if yes can i ask refrence or example
thx for
