public static ModelOutput Predict(ModelInput input, string modelFilePath)
{
MLContext mlContext = new MLContext();
string modelPath = modelFilePath;
//// Load model & create prediction engine
ITransformer mlModel = mlContext.Model.Load(modelPath, out var modelInputSchema);
var predEngine = mlContext.Model.CreatePredictionEngine <ModelInput, ModelOutput>(mlModel);
Console.WriteLine($"number of columns is ======= {modelInputSchema.Count.ToString()}");
foreach (var item in modelInputSchema)
{
Console.WriteLine($"name of column is ========={item.Name}");
}
// Console.WriteLine($"count is ======= {modelInputSchema.}");
// Use model to make prediction on input data
ModelOutput result = predEngine.Predict(input);
return(result);
}
