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
更新於 3/13/2026
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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.
安裝
$ install --globalskills.sh
使用
安裝後,您可以通過在終端運行以下命令來使用此技能:
skills use statsforecast-polars-ensemble-pipeline