Rare Earth Purity Classifier
Classifies product purity band from stage chemistry and impurity indicators. Reference implementation for benchmarking and education.
This model is a reference implementation. Industrial use requires validation on plant-specific data. Customer-specific fine-tuning remains private unless explicitly approved for publication.
Input schema
| Field | Type | Description |
|---|---|---|
| stage_chemistry | float[] | Chemistry indicators by stage |
| impurity_index | float | Aggregate impurity indicator |
Output schema
| Field | Type | Description |
|---|---|---|
| purity_band | enum | ≥99.9 / 99.0 to 99.9 / <99.0 |
| class_proba | float[] | Class probabilities |
Training data & evaluation
Training data type
Synthetic separation dataset
Evaluation metrics
Limitations
- Purity bands are coarse; not a substitute for lab assay.
Discussion
- s.Validation note
s.iyer
ML researcher · 3d
Reproduced the reported metric on the public split with a fixed seed. Numbers line up within noise, so it's a good baseline to build on.
18 - l.Improvement
l.zhang
Process engineer · 1w
Adding an uncertainty head would make this far more useful for prioritization. Happy to open a PR against the reference repo.
11
Validate on your data, keep the result private
Reference models are a starting point. We can fine-tune privately on plant-specific data, with customer-owned IP and no public disclosure.