public class PredictionModel: IModel { public void Dispose() { //implementation here } public TPrediction Predict(TInput input) { //implementation here } public void Save(Stream stream) { //implementation here } public static PredictionModel Load(Stream stream); { //implementation here } }
var model = new LightGbmModel(ModelPath); //using Microsoft.ML.LightGbm library var testInput = new TestData { Column1 = 0, Column2 = 0, Column3 = 0 }; var prediction = model.Predict(testInput); Console.WriteLine($"Prediction: {prediction}");This code example uses the IModel interface through the LightGbmModel class provided by the Microsoft.ML.LightGbm library. It loads a pre-trained model from a file path, creates sample test data, and makes a prediction using the model. The result is then printed to the console.