Matminer property regression starter
A framework for discovering, compiling, and validating reusable skills for scientific agents.From the repository description
npx -y skills add ma-compbio-lab/SkillFoundry --skill matminer-property-regression-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.0 KB, 207 tokens by cl100k_base, as published. Nobody here has run it
Matminer Property Regression Starter
Use this skill to featurize simple formulas with Matminer and fit a deterministic toy regression model for materials-property prediction.
What This Skill Does
- converts formulas into composition features with Matminer
- fits a small deterministic regression model
- reports feature count, train fit quality, and holdout predictions
When To Use It
- when a user asks for a starter on materials-property prediction
- when you need a lightweight local template before connecting to a larger materials dataset
- when you want a runnable example for the
materials-property-predictiontaxonomy leaf
Run
./slurm/envs/materials/bin/python skills/materials-science-and-engineering/matminer-property-regression-starter/scripts/run_matminer_property_regression.py --out scratch/materials/property_regression_summary.json
Notes
- This is a toy local regression starter, not a benchmark-quality predictive model.
- Pair it with larger curated datasets later if you need scientific performance claims.
What ships with it: 8 files
6.9 KB alongside SKILL.md, 2 of them executable
assets/
examples/
- README.md155 B
scripts/
- run_matminer_property_regression.pyruns3.4 KB
tests/
- README.md95 B
- test_run_matminer_property_regression.pyruns1.3 KB
- metadata.yaml1.2 KB
- refs.md221 B