home/categories/data-analysis/ecnu-icalk-autoskill-skillbank-convskill-english-gpt4-8-glm4-7-statsforecast-polars-ensemble-pipeline-skill-md
data-analysisdata-ai
statsforecast-polars-ensemble-pipeline
Execute a univariate time series forecasting pipeline using StatsForecast and Polars. Includes ID concatenation, cross-validation, ensemble generation (AutoARIMA, AutoETS, DynamicOptimizedTheta), non-negative constraints, outlier-aware metrics, and formatted output with specific type casting for split IDs.
maintainer
ECNU-ICALK
์
๋ฐ์ดํธ๋จ 2026. 3. 13.
์คํ
304
ํฌํฌ
34
quick start
Installation and usage
Execute a univariate time series forecasting pipeline using StatsForecast and Polars. Includes ID concatenation, cross-validation, ensemble generation (AutoARIMA, AutoETS, DynamicOptimizedTheta), non-negative constraints, outlier-aware metrics, and formatted output with specific type casting for split IDs.
์ค์น
$ install --globalskills.sh
์ฌ์ฉ๋ฒ
์ค์น ํ ํฐ๋ฏธ๋์์ ๋ค์ ๋ช ๋ น์ ์คํํ์ฌ ์ด ์คํฌ์ ์ฌ์ฉํ ์ ์์ต๋๋ค:
skills use statsforecast-polars-ensemble-pipeline