This trains a Xgboost model on Pima Indians Diabetes Database
The logs are stored at logs.txt
The commands are stored at commands.txt
Docker image of the triton api is stored at susnato/xgb-diabetes-triton:cpu To run-
curl -X POST http://localhost:8000/v2/models/xgb/infer -d @/home/susnato/PycharmProjects/DiabetesDetection/triton_payload.jsonwhere the payload should look like -
{"inputs": [{"name": "input__0", "datatype": "FP32", "shape": [1,8], "data": [[1,85,66,29,0,26.6,0.351,31]]}]}The output should be -
{"model_name":"xgb","model_version":"1","outputs":[{"name":"output__0","datatype":"FP32","shape":[1,2],"data":[0.6297283172607422,0.3702717125415802]}]}
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