The BaseML class

The BaseML class, as discussed earlier, is going to contain the common code between our Trainer and Predictor classes, starting with this chapter. Over the remainder of the book, we will build on top of the BaseML class defined as follows:

using System;
using System.IO;

using chapter02.Common;

using Microsoft.ML;

namespace chapter02.ML.Base
{
    public class BaseML
    {
        protected static string ModelPath => Path.Combine(AppContext.BaseDirectory,                                                           Constants.MODEL_FILENAME);

        protected readonly MLContext MlContext;

        protected BaseML()
        {
            MlContext = new MLContext(2020);
        }
    }
}

For all ML.NET applications in both training and predictions, an MLContext object is required. Initializing the object with a specific seed value is needed to create more consistent results during the testing component. Once a model is loaded, the seed value (or lack thereof) does not affect the output.