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SkillsMP는 llnl/dmx-learn에서 4개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 4개 중 4개를 표시합니다.
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어