TabLLM
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How can I apply it to my own data set?
HI@stefanhgm My current dataset contains test data and diagnostic reports for 3,000 patients. The number of rows of test data is not uniform. Each test data is a three-column csv file. The first column of the file is the time, starting from 0 and incrementing every 0.1 seconds. The other two columns are the test content; the diagnostic report is a txt file that contains the patient's examination information and the doctor's diagnosis. Opinion. Each csv file corresponds to one and txt file, I would like to ask how should I process my data set to train your model?