RSDS: A General Robust Sampling Method for Classifications
By Yong Zheng ----- September 2019
DEPENDENCIES
RSDS could be run with Python3.
Some packages should be installed with the specific version:
- Numpy v1.16.4
The local version of RSDS does not require any other software to be executed.
However, RSDS requires 1 input files:
- train_data :Numpy type data set.
EXAMPLE USAGE
After splite the training set and the test set, RSDS.py is called to pre-process the training set, and the processed training set and the test set call classifier are trained to obtain a classification model.
OTHER INFORMATION
Users could use our web at http://www.cquptshuyinxia.com/ as an alternative choice.
TROUBLESHOOTING
Please contact [email protected] for any problems users may encounter using RSDS.
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