What does `sample_weight` do to the way a `DecisionTreeClassifier` works in sklearn?

Question

I\'ve read from this documentation that :

\"Class balancing can be done by sampling an equal number of samples from each class, or preferably by normalizing the su

Answer 1

If anyone is just looking for the way to compute the sample_weight like I was, you might find this handy.

sklearn.utils.class_weight.compute_sample_weight