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# Matminer Toy Property Prediction Starter
Use this skill to featurize a small composition table with `matminer` and fit a deterministic toy property predictor.
## What it does
- Loads a toy TSV of formulas and target values.
- Uses `matminer` composition featurizers to build numeric features.
- Fits a small scikit-learn regressor and summarizes training predictions plus feature importances.
- Returns compact JSON suitable for materials-property-prediction starter workflows.
## When to use it
- You need a local starter for materials-property prediction.
- You want a minimal example that connects composition featurization to a predictive model.
## Example
```bash
slurm/envs/materials/bin/python skills/materials-science-and-engineering/matminer-toy-property-prediction-starter/scripts/run_matminer_toy_property_prediction.py \
--input skills/materials-science-and-engineering/matminer-toy-property-prediction-starter/examples/toy_materials.tsv \
--out scratch/materials/property_prediction_summary.json
```
## Verification
- Skill-local tests: `python3 -m unittest discover -s skills/materials-science-and-engineering/matminer-toy-property-prediction-starter/tests -p 'test_*.py'`
- Repository smoke: `python3 -m unittest tests.smoke.test_frontier_leaf_expansion_skills -v`
