Replication Data for: Online Learning with Optimism and Delay

Name: Replication Data for: Online Learning with Optimism and Delay
Creator: Massachusetts Institute of Technology; Boston University; Atmospheric and Environmental Research; Instituto de Matem\'{a}tica Pura e Aplicada; Microsoft Research New England; University of Toronto
Published: 2021-01-01T00:00:00+08:00

Harvard Dataverse2021-06-11 更新2026-04-09 收录

亚季节天气预报

学习优化

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IOCFCY 数据链接链接失效反馈

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资源简介：

The model forecasts for the sub-seasonal forecasting application considered in the Online Learning under Optimism and Delay paper experiments. This dataset consists of a single ZIP archive (919MB) that contains 1) a "models" folder that contains, for each model the forecasts for the Precip. 3-4w, Precip. 5-6w, Temp. 3-4w, Temp. 5-6w tasks on the western United States geography, and 2) a "data" folder that contains supporting geographic data. The data should be used to reproduce the PoolD experiments in https://github.com/geflaspohler/poold as described in the README.

提供机构：

Massachusetts Institute of Technology; Boston University; Atmospheric and Environmental Research; Instituto de Matem\'{a}tica Pura e Aplicada; Microsoft Research New England; University of Toronto

创建时间：

2021-01-01