ML.NET (Hands-On Machine Learning with ML.NET)

After adding the dataset to our project, we have to create now the input class for our model. Therefore we are going to add a new class in the subfolder "Objects" called SentimentData. Column 0 represents our input text, while column 1 stands for the output label. So far, we have created the input class for the model, but we also need an output class, which contains the output properties after running the model. Let's create a class called SentimentPrediction in the same Objects folder as our SentimentData class.