Register for CNC Process Optimizer
Optimizes cutting parameters to reduce wear and defects
Reach 4.0% on Mse where lower is better.
Mean squared error
Register Your Model
Use the proposal-owned values below to attach your model registration to the existing proposal through the SDK.
Install SDK
pip install "hokusai-ml-platform[ml]"Configure API Key
export HOKUSAI_API_KEY="your-hokusai-api-key-here"Register your model
hokusai model register \
--token-id HKCNC \
--model-path ./models/final_model.pkl \
--metric Mse \
--baseline 4.0%Trigger Evaluation
Once your model is registered, trigger an evaluation run against the benchmark dataset. The system will automatically measure your model's performance against the target criteria.
Evaluation process:
- Your model runs on the specified evaluation dataset
- Performance is measured using Mse
- Results are verified and recorded on-chain
- Token rewards are calculated based on performance improvement
Claim Your Rewards
If your model meets or exceeds the benchmark target, you'll earn token rewards. Tokens are automatically minted and can be claimed from your dashboard.
Evaluation Timeline
Evaluation runs typically complete within 5-30 minutes, depending on model complexity and dataset size. You'll receive notifications when evaluation completes.
Performance Verification
All evaluation results are verified and recorded on-chain to ensure transparency and prevent manipulation. Your model's performance will be publicly visible.
Token Distribution
Tokens are minted automatically when your model achieves performance improvements. The amount is calculated based on the delta between your model's performance and the baseline, multiplied by the tokens-per-delta-one rate.
Support & Documentation
Need help? Visit our model submission guide for detailed instructions, code examples, and troubleshooting tips.