alterlab-timesfm
De la autor
Forecasts time series zero-shot with Google's TimesFM foundation models — TimesFM 2.5 (200M, Apache-2.0 weights; ForecastConfig API, XReg covariates) and TimesFM 3.0 (~330M, multivariate with native past/future covariates; non-commercial weights) — producing point forecasts and quantile prediction intervals from CSV/DataFrame/array inputs, with a preflight system checker for RAM/GPU. Use when forecasting univariate or multivariate series (sales, sensors, energy, vitals, weather) without training a custom model, batch-forecasting many series, or flagging anomalies against forecast intervals. Part of the AlterLab Academic Skills suite.
Instalare
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-timesfm -a claude-code
Se instalează în .claude/skills/alterlab-timesfm/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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De ce 77
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