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Data Splitting Algorithms for Model Developments

v1.0.2 · Jan 29, 2024 · MIT + file LICENSE

Description

Providing six different algorithms that can be used to split the available data into training, test and validation subsets with similar distribution for hydrological model developments. The dataSplit() function will help you divide the data according to specific requirements, and you can refer to the par.default() function to set the parameters for data splitting. The getAUC() function will help you measure the similarity of distribution features between the data subsets. For more information about the data splitting algorithms, please refer to: Chen et al. (2022) <doi:10.1016/j.jhydrol.2022.128340>, Zheng et al. (2022) <doi:10.1029/2021WR031818>.

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Dependency Network

Dependencies Reverse dependencies caret kohonen Matrix pROC xgboost DSAM

Version History

4 tracked
new 1.0.2 Mar 10, 2026
updated 1.0.2 ← 1.0.1 diff Jan 28, 2024
updated 1.0.1 ← 1.0.0 diff Aug 18, 2023
new 1.0.0 Aug 15, 2023