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Semantic MediaWiki
There are 1 incomplete or pending task to finish installation of Semantic MediaWiki. An administrator or user with sufficient rights can complete it. This should be done before adding new data to avoid inconsistencies.STM32Cube AI Studio provides robust tools for validating model accuracy and measuring system performance.
1. Validation modes
1.1. Desktop validation
- Purpose: Compare original model and generated C model outputs.
- Metrics:
- ACC: Classification accuracy
- RMSE: Root mean square error
- MAE: Mean absolute error
- L2r: L2 relative error
1.2. On-target validation
- Purpose: Validate model on STM32 hardware.
- Features:
- Automatic board detection
- Signature check (RAM/ROM size, MACC, nodes, tool versions)
- Layer-by-layer performance reporting
- L2 error on last output layer
2. Typical output fields
| Field | Description |
|---|---|
| Duration | Inference time (ms) |
| CPU Cycles | Cycles per inference |
| Cycles/MACC | Efficiency metric |
| Used heap | Dynamic memory usage |
| Used stack | Stack memory usage |
3. Validation data
- Representative dataset: Use pre-processed data matching the original model input pipeline.
- Output format: For classifiers, use one-hot encoding.
4. Related ST Edge AI Core documentation
5. Next steps