I am currently trying to dynamically change the Tsrc and Tdest in MlContext.Model.CreatePredictionEngine<>(ITransformer); in ML.net. So instead of having a class for data structure (Tsrc) and a class for the prediction (Tdesc) in the code, could I somehow dynamically add the classes probably with reflection?
I have tried to load an object using JsonConvert.deseralize() and get the type of that object to be the Tsrc and Tdest.
ITransformer loadedModel = mlContext.Model.Load(modelPath, out var schema);
List<DataViewSchema.Column?> columnData = new List<DataViewSchema.Column?>();
foreach (string col in columns)
{
DataViewSchema.Column? sch = schema.GetColumnOrNull(col);
columnData.Add(sch);
}
object obj_data = JsonConvert.DeserializeObject(" ");
object obj_prediction = JsonConvert.DeserializeObject(" ");
//var prediction = mlContext.Model.CreatePredictionEngine<IrisData, IrisPrediction>(loadedModel).Predict();
var prediction = mlContext.Model.CreatePredictionEngine<>(loadedModel).predict();
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