(column, source_range, target_range, epsilon=1e-8)
| 67 | |
| 68 | |
| 69 | def normalize_and_scale(column, source_range, target_range, epsilon=1e-8): |
| 70 | |
| 71 | source_min, source_max = source_range |
| 72 | new_min, new_max = target_range |
| 73 | |
| 74 | normalized = (column - source_min) / (source_max - source_min + epsilon) |
| 75 | scaled = normalized * (new_max - new_min) + new_min |
| 76 | return scaled |
| 77 | |
| 78 | |
| 79 | @torch.compile |
no outgoing calls
no test coverage detected