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

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