sgeboers
1c58429ab0
- Replace Procrustes-based stability with Ridge regression on fused embeddings - For each SVD axis, fit Ridge: SVD_score ~ fused_embedding per window - Compare weight vectors via max(cosine similarity, Jaccard top-100) - Add --regression-alpha CLI argument (default 1.0) - Keep party-based fallback for windows with < 50 motions - Update tests for new regression-based approach Key finding: regression weights show moderate stability (0.06-0.51) but no axes exceed 0.7 threshold — semantic features defining each axis shift significantly across windows
stemwijzer
A small project that uses QWEN embeddings for semantic features. The codebase includes an example Ansible package under packages/@ansible/example and helper scripts for deployment.
Embeddings
- This project uses QWEN embeddings (model:
qwen/qwen3-embedding-4b) via OpenRouter-compatible APIs. - Preferred environment variable:
OPENROUTER_API_KEYwith a fallback toOPENAI_API_KEY.
Publishing and deploying the Ansible package
- Package location:
packages/@ansible/example— this contains the Ansible playbooks and packaging used by CI. - To publish the package (CI): create a git tag for the version and provide
NPM_TOKENas a secret to the CI runner so it can publish to npm. - To deploy the package (CI): set the following repository secrets in your CI pipeline:
DEPLOY_HOST(default:motief.sgeboers.nl)DEPLOY_SSH_KEY(private key for thewebappsuser)DEPLOY_USER(default:webapps)
Defaults
- DEPLOY_HOST:
motief.sgeboers.nl - DEPLOY_USER:
webapps
See docs/deployment/ansible-package-deploy.md for more detailed deploy instructions and defaults.