The setting for Normalize weights informs the classifier whether it should take into account the number of samples for each category when defining its probability.
In the case your categories are not balanced, should they be normalized to ignore this fact? Or should the categories with more samples have more prior probability? The first option corresponds to normalize weights enabled, and the the second to normalize weights disabled.
By default weight normalization is enabled.