-metrics = [{'func': norms.l1, 'name': 'l1'},
- {'func': norms.l2, 'name': 'l2'},
- {'func': norms.l3, 'name': 'l3'},
- {'func': norms.cosine_distance, 'name': 'cosine_distance'},
- {'func': norms.harmonic_mean, 'name': 'harmonic_mean'},
- {'func': norms.geometric_mean, 'name': 'geometric_mean'},
- {'func': norms.inverse_log_pl, 'name': 'inverse_log_pl'}]
+# def frequency_compare(text, target_frequency, frequency_scaling, metric):
+# counts = frequency_scaling(frequencies(text))
+# return -1 * metric(target_frequency, counts)
+
+# def euclidean_compare(text):
+# return frequency_compare(text, norms.euclidean_scale(english_counts),
+# norms.euclidean_scale, norms.euclidean_distance)
+
+metrics = [{'func': norms.l1, 'invert': True, 'name': 'l1'},
+ {'func': norms.l2, 'invert': True, 'name': 'l2'},
+ {'func': norms.l3, 'invert': True, 'name': 'l3'},
+ {'func': norms.cosine_distance, 'invert': False, 'name': 'cosine_distance'},
+ {'func': norms.harmonic_mean, 'invert': True, 'name': 'harmonic_mean'},
+ {'func': norms.geometric_mean, 'invert': True, 'name': 'geometric_mean'}]