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Implementation-oriented local `dmx-learn` fitting skill for coding, fitting, diagnosing, and using models on local or in-memory data once the problem structure is known. Prefer explicit `dmx.stats` estimators for ordinary non-Bayesian work and use…
原文语言：英语
Use when adding or updating tests, or when validating dmx-learn changes against the repo's CI quality gates. Covers pytest layout, the shared stats test harness, torch test constraints, and the exact Black, isort, mypy, pylint, and pydocstyle checks used in…
原文语言：英语
Main entry point for local `dmx-learn` modeling requests. Use to scope the problem, infer the observation structure, keep the workflow on local data, and route detailed implementation to narrower repo-local skills or references. Default to explicit…
原文语言：英语
Use when modifying Python source, utilities, examples, or distribution code in dmx-learn. Applies the repo's enforced coding standards from CI: Poetry workflows, Black line length 88, isort black profile, typed function signatures for mypy, pylint-friendly…
原文语言：英语