def get_feature_counts(self, threshold=<NUM_LIT>):
counts = np.sum(self.get_feature_data() >= threshold, <NUM_LIT:0>)<EOL>return dict(zip(self.get_feature_names(), list(counts)))<EOL>
Returns a dictionary, where the keys are the feature names
        and the values are the number of studies tagged with the feature.