def get_sampling_weights(self, config, **kwargs): ## there are cases where filter and weights are mutual dependent (e.g. DPLCM) ## pass the filter through self.filter_index to apply_filter, ## which is either boolean array of the same size as self.choice_set or ## index of self.choice_set self.filter_index = None return ChoiceModel.get_sampling_weights(self, config, **kwargs)
def get_sampling_weights(self, config, **kwargs): ## there are cases where filter and weights are mutual dependent (e.g. DPLCM) ## pass the filter through self.filter_index to apply_filter, ## which is either boolean array of the same size as self.choice_set or ## index of self.choice_set self.filter_index = None return ChoiceModel.get_sampling_weights(self, config, **kwargs)