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.

ECNU-ICALK
maintainer
ECNU-ICALK
์—…๋ฐ์ดํŠธ๋จ 2026. 3. 13.
์Šคํƒ€
304
ํฌํฌ
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
์‚ฌ์šฉ๋ฒ•

์„ค์น˜ ํ›„ ํ„ฐ๋ฏธ๋„์—์„œ ๋‹ค์Œ ๋ช…๋ น์„ ์‹คํ–‰ํ•˜์—ฌ ์ด ์Šคํ‚ฌ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

skills use statsforecast-polars-ensemble-pipeline