feat: add ER evaluation - #4
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Brings the feature branch up to date with main (adds CI scaffold, .deepsource.toml, tests placeholder) and reworks the tooling to mirror the pmf-tsfm project: - ci.yml: two-job layout — pre-commit (ruff lint+format) then test (pytest + coverage); uv + checkout@v6 / setup-uv@v7; codecov@v5. - .pre-commit-config.yaml: ruff-only (pre-commit-hooks v5 + ruff v0.15.4); drop mypy, bandit, and the pre-commit.ci block. Scope hooks to the maintained src/ package — legacy top-level code (models/, preprocessing/, utils/, train.py) is excluded and left for a separate cleanup. - pyproject.toml: drop mypy/bandit from dev extras and their tool config. - Fix ruff lint/format in the ER evaluation code (SIM118, dict.fromkeys, combined conditionals, import sorting, formatting). DeepSource error on the PR is resolved: main (the default branch) now carries .deepsource.toml, so re-analysis finds the config.
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Adds a fast, refactored entropic relevance evaluation pipeline with scripts and utilities, generating per-window and summary metrics.
pmf_benchmark.metrics.entropic_relevancepackage:DFGConstructor,BackgroundModel, ER automaton/calculator, and orchestration (er_evaluation.py,run_fast.py) producing CSV/JSON and using cachingrun_er_evaluation.pyand Hydra runnerscripts/run_er_evaluation_hydra.pywith configconfigs/er/er_fast.yamlpyproject.tomlto setuptools layout, adddevextras and Ruff config.gitignoreto include project data/results paths anduv.lockconfig/(base and model/preprocessing YAMLs)Written by Cursor Bugbot for commit af6f986. This will update automatically on new commits. Configure here.