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.stats targets from a T1w image and an aparc+aseg segmentation.stats_model.safetensors: model weights and inference metadata in safetensors format.config.json: architecture and feature-schema metadata needed by ScaleSurferStatsPredictor.metadata.json: checksums and training/evaluation metadata.summary.csv, history.csv, target_metrics.csv: copied training diagnostics.| Group | Targets | Values | Normalized MAE | Median absolute percent error |
|---|---|---|---|---|
| aseg | 119 | 39699 | 0.4714784485426931 | 7.629659175872803 |
| global | 64 | 16070 | 0.212405763403243 | 1.7018315196037292 |
| lh_aparc | 306 | 106742 | 0.4562009682892021 | 8.101013660430908 |
| rh_aparc | 306 | 106738 | 0.45695450692734807 | 7.982769966125488 |
1from scalesurfer.stats import ScaleSurferStatsPredictor
2
3predictor = ScaleSurferStatsPredictor.from_pretrained('base')
4features = predictor.predict_subjects(subjects_dir, subjects, return_format="wide")