Created
May 27, 2024 03:32
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| sample_weights = compute_sample_weight(class_weight='balanced',y=df.label) | |
| label_weights = { k:v for k, v in sorted(list(zip(df.label, sample_weights)))} | |
| label_weights = torch.tensor(list(label_weights.values()), dtype=torch.float32) | |
| label_weights |
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