ML.NET 教學課程 - 10 分鐘入門

ML.NET CLI 已為您產生經過訓練的模型和程式碼，因此您現在可以按照以下步驟在 .NET 應用程式 (例如，SentimentModel 主控台應用程式) 中使用該模型:

1. 在命令列中，瀏覽至 consumeModelApp 目錄。
   TerminalCopy

   cd SentimentModel

2. 在任何程式碼編輯器中開啟 Program.cs，並檢查程式碼。程式碼應如下所示:

   Program.csCopy

   using System;
   
   namespace SentimentModel.ConsoleApp
   {
       class Program
       {
           static void Main(string[] args)
           {
               // Add input data
               SentimentModel.ModelInput sampleData = new SentimentModel.ModelInput()
               {
                 Col0 = @"Wow... Loved this place."
               };
   
               // Make a single prediction on the sample data and print results
               var predictionResult = SentimentModel.Predict(sampleData);
   
               Console.WriteLine("Using model to make single prediction -- Comparing actual Col1 with predicted Col1 from sample data...\n\n");
   
   
               Console.WriteLine($"Col0: @{"Wow... Loved this place."}");
               Console.WriteLine($"Col1: {1F}");
   
   
               Console.WriteLine($"\n\nPredicted Col1: {predictionResult.PredictedLabel}\n\n");
               Console.WriteLine("=============== End of process, hit any key to finish ===============");
               Console.ReadKey();
           }
       }
   }

3. 執行您的 SentimentModel.ConsoleApp。您可以在終端機中執行下列命令來執行此操作 (請確保您位於 SentimentModel 目錄中):

   TerminalCopy

   dotnet run

   輸出看起來應該像這樣:

   TerminalCopy

   Using model to make single prediction -- Comparing actual Col1 with predicted Col1 from sample data...
   
   
   Col0: Wow... Loved this place.
   Col1: 1
   Class                          Score
   -----                          -----
   1                              0.9651076
   0                              0.034892436
   =============== End of process, hit any key to finish ===============