A tiny proof of concept with ML.NET
To load a trained ONNX
model into ML.NET
and then test the prediction engine by passing in each row of the inferenceData.csv
file to the Predition
endpoint.
dotnet build
dotnet run
Take a line from the inferenceData.csv
file and send as an array to the endpoint.
The model requires an array of floats with 20 items, more or less will cause an error
Example...
curl -X 'POST' \
'https://localhost:5001/Prediction' \
-H 'accept: text/plain' \
-H 'Content-Type: application/json' \
-d '[
-0.011430789,-0.072804466,-0.072202496,0.010752341,10.005615,9.971158,10.071351,9.941953,-0.095031515,-0.082216434,-0.06416558,-0.060096428,10.077214,9.920494,9.9190235,-0.035336476,-0.08147322,0.043970365,-0.02370813,9.980851
]'