ML.NET 教程 - 10 分钟入门

ML.NET CLI 生成了经过训练的模型和代码，因此现在可以按照以下步骤在 .NET 应用程序(例如，SentimentModel 控制台应用)中使用该模型:

1. 在命令行中，导航到 consumeModelApp 目录。
   TerminalCopy

   cd SentimentModel

2. 在任何代码编辑器中打开 Program.cs 然后检查代码。代码应如下所示:

   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. 运行 SentimentModel.ConsoleApp。可以通过在终端中运行以下命令来执行此操作(请确保你位于 SentimentModel 中):

   TerminalCopy

   dotnet run

   输出应如下所示:

   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 ===============