title: ML.net code program cant find input column, out of range exception when training algorithm
body: <p>When i train my algorithm  an exception in my model: </p>
  
  <blockquote>
    <p>System.ArgumentOutOfRangeException: 'Could not find input column 'Features' '</p>
  </blockquote>
  
  <p>I'm pretty sure i am passing in the correct variables into my pipeline property, however I am aware that ML has a new version out so things are deprecated. although can't spot any here:</p>
  
  <pre><code>var model = pipeLine.Fit(dataView);
  </code></pre>
  
  <p>is what is erroring </p>
  
  <pre><code>var pipeLine = mlContext.Transforms
       .Text.FeaturizeText("FeedBack", "Features")
      .Append(mlContext.BinaryClassification.Trainers.FastTree(numberOfLeaves: 50, numberOfTrees: 50, minimumExampleCountPerLeaf: 1));
  </code></pre>
  
  <p>is where my model is coming from </p>
  
  <p>and </p>
  
  <pre><code>var mlContext = new MLContext();
  
  IDataView dataView = mlContext.Data.LoadFromEnumerable(trainingData);
  </code></pre>
  
  <p>is where my dataView is coming from. </p>
  
  <p>This is my trainingData</p>
  
  <pre class="lang-cs prettyprint-override"><code>static void LoadTrainingData() {
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "this is good",
          IsGood = true
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "this is horrible",
          IsGood = true
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "this is horrible",
          IsGood = false
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "this is average and ok",
          IsGood = true
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "bloody awful",
          IsGood = false
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "bad",
          IsGood = false
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "better",
          IsGood = true
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "so much nicer",
          IsGood = true
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "shitty terrible",
          IsGood = false
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "worse",
          IsGood = false
      });
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "nice and good",
          IsGood = true
      });
  
  
      trainingData.Add(new FeedBackTrainingData() {
          FeedBackText = "soooo bad",
          IsGood = false
      });
  }
  
  
  </code></pre>
  
  <pre><code>    class FeedBackTrainingData
  {
  
      [LoadColumn(0)]
      [ColumnName("label")]
      public bool IsGood { get; set; }
  
      [LoadColumn(1)]
      public string FeedBackText { get; set; }
  
  
  }
  </code></pre>
  
  <p>my model </p>