Hi all,
I read the source code of tree and forest in sklearn and found there's no
sample weight specification.
I have a big training dataset, in which many samples consist of same
features. So, is there a version or branch of tree mode support sample
weight? Can I implement this logic just modify the criterion(entropy, gini,
or mse) method?
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