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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/pymc-labs/pymc-modeling.저장소 README를 불러오는 중…
수집된 skill 5개 중 5개를 표시합니다.
Track PyMC experiments with MLflow, record sampling configuration and diagnostics, save and retrieve DataTree artifacts, and compare runs. Use for pymc_marketing.mlflow autologging, MMM model persistence and MLflow registry preparation, or CLV fit tracking.…
원문 언어: 영어
Build, revise, and debug Bayesian models with PyMC. Use when choosing likelihoods and priors, specifying model/data dimensions, fitting hierarchical models, GPs, time series, mixtures, BART or splines, using pymc-extras distributions, marginalization,…
원문 언어: 영어
Build, differentiate, compile, and debug PyTensor symbolic computations for models. Use for symbolic tensor shape or dtype errors, named dimensions, indexing and broadcasting, vectorization and scan, numerical or sparse operations, symbolic RNG state, graph…
원문 언어: 영어
Elicit and check Bayesian prior assumptions in meaningful units. Use for expert quantiles, PreliZ, constrained priors, prior-predictive plausibility and prior sensitivity, including power scaling, regularized horseshoe and R2D2 assumptions.
원문 언어: 영어
Diagnose existing Bayesian inference output and evaluate fitted predictions with modern ArviZ DataTree summaries, divergences, rank R-hat, ESS and Monte Carlo precision. Use for posterior predictive checks, calibration, LOO/ELPD, Pareto k, stacking, grouped…
원문 언어: 영어
README를 불러오지 못했습니다. 아래의 저장소 Skill 목록은 계속 이용할 수 있습니다.