问ML.Net LearningPipeline始终有10行

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// LearningPipeline allows you to add steps in order to keep everything together 
        // during the learning process.  
        // <Snippet5>
        var pipeline = new LearningPipeline();
        // </Snippet5>

        // The TextLoader loads a dataset with comments and corresponding postive or negative sentiment. 
        // When you create a loader, you specify the schema by passing a class to the loader containing
        // all the column names and their types. This is used to create the model, and train it. 
        // <Snippet6>
        pipeline.Add(new TextLoader(_dataPath).CreateFrom<SentimentData>());
        // </Snippet6>

        // TextFeaturizer is a transform that is used to featurize an input column. 
        // This is used to format and clean the data.
        // <Snippet7>
        pipeline.Add(new TextFeaturizer("Features", "SentimentText"));
        //</Snippet7>

        // Adds a FastTreeBinaryClassifier, the decision tree learner for this project, and 
        // three hyperparameters to be used for tuning decision tree performance.
        // <Snippet8>
        pipeline.Add(new FastTreeBinaryClassifier() { NumLeaves = 50, NumTrees = 50, MinDocumentsInLeafs = 20 });
        // </Snippet8>