DSAM
Data Splitting Algorithms for Model Developments
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)
- Version1.0.2
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release01/29/2024
Documentation
Team
Junyi Chen
Feifei Zheng
Show author detailsRolesAuthor, Thesis advisor
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- Depends1 package
- Imports7 packages