How can I do classification or regression in sklearn if I want to weight each sample differently? Is there a way to do it with a custom loss function? If so, what does that loss function look like in general? Is there an easier way?
To weigh individual samples, feed a sample_weight
array to the estimator's fit
method. This should be a 1-d array of length n_samples
(i.e. the same dimension as y
in most tasks):
estimator.fit(X, y, sample_weight=some_array)
Not all models support this, check the documentation.
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