Created
January 6, 2021 03:13
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| lbl_vc = feature_label_df['labels'].value_counts() | |
| total = lbl_vc.sum() | |
| mu = 3.0 | |
| class_weights = {} | |
| for i, k in enumerate(lbl_vc.keys()): | |
| w = np.log(mu * total / float(lbl_vc[k])) | |
| class_weights[i] = w if w > 1 else 1 | |
| print(class_weights) |
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