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simeonem/CBDA-subsampling
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This project is a set of scripts for creating validation and training sets from a csv data file for use in a machine learning process. This was originally created for the CBDA machine learning project, but may be useful for other machine learning projects. The documentation files, in the docs directory, are: creating-samples.txt How to use the programs for creating files of random samples from a csv data file. code-management.txt How to modify the code, especially the Python3 scripts. history.txt Notes on different versions of the sampling code that were floating around at one point in time.
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Python scripts to generate subsamples within the CBDA protocol
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