mad-lab-fau

Use when releasing gaitmap from this repo with uv+poe+GitHub Actions+Read the Docs; supports patch/minor/major and enforces CI+RTD gates before creating a GitHub release.

Use when implementing or reviewing core tpcp classes, especially Algorithms and Pipelines, parameter definitions, action methods, result attributes, cloning, and nested parameter handling.

Use when building, reviewing, or refactoring code that subclasses tpcp Dataset, Algorithm, Pipeline, or uses tpcp optimization/validation. Gives the global rules, main pitfalls, and points to focused tpcp skills for basics, datasets, and optimization.

Use when implementing or reviewing tpcp Dataset classes, dataset indexes, grouping, subsetting, data accessors, and split/group label behavior for validation workflows.

Use when working on tpcp code that uses n_jobs, joblib parallelism, tpcp.parallel, caching in parallel workers, or when debugging multiprocessing, serialization, or global state issues in tpcp.

Use when implementing or reviewing tpcp self_optimize logic, parameter annotations, Optimize/GridSearch/GridSearchCV usage, and validation workflows that must avoid train-test leakage.

Use when releasing a uv+poe+GitHub Actions+Read the Docs Python project; supports patch/minor/major and enforces CI+RTD gates before GitHub release.

Use when releasing gaitmap-datasets from this repo with uv+poe+GitHub Actions+manual gh-pages docs publishing; supports patch/minor/major and enforces CI before creating a GitHub release.

Use when releasing nilspodlib from this repo with uv+poe+GitHub Actions+GitHub Releases+PyPI trusted publishing; supports patch/minor/major and requires CI before creating a release.