Using Variables as parameters instead of constant in ML.NET

[crazyoutlook]

System Information (please complete the following information):

• OS & Version: [e.g. Windows 10] - Windows 10
• ML.NET Version: [e.g. ML.NET v1.5.5] - ML.Net 1.4
• .NET Version: [e.g. .NET 5.0] - .Net 6.0

Describe the bug
A clear and concise description of what the bug is.
I have some attribute value in code which is being used in ML.Net code. Ml.Net is accepting constants for these attributes. I need to use variables so that I can supply it at runtime.

To Reproduce
Steps to reproduce the behavior:

Have attached source code. Below class is used in ML.Net - public class ImageInput, public class ImagePredictions
Above class is used to initialize ML.Net as below :
//Initialize MLContext
MLContext mlContext = new MLContext();
//Load Data
List emptyData = new List();
var data = mlContext.Data.LoadFromEnumerable(emptyData);

Expected behavior
A clear and concise description of what you expected to happen.
I should be able to use variables when initializing ML.Net

Screenshots, Code, Sample Projects
If applicable, add screenshots, code snippets, or sample projects to help explain your problem.
Code sample attached.

public struct ImageSettings
{
public const int imageHeight = 416;
public const int imageWidth = 416;
}

public class ImageInput
{
    [ImageType(ImageSettings.imageHeight, ImageSettings.imageWidth)]
    public Bitmap Image { get; set; }
}

public class ImagePredictions
{
    [ColumnName("model_outputs0")]
    public float[] PredictedLabels { get; set; }
}


 //Initialize MLContext
 MLContext mlContext = new MLContext();

 //Load Data
            
List<ImageInput> emptyData = new List<ImageInput>();
var data = mlContext.Data.LoadFromEnumerable(emptyData);

 var pipeline = mlContext.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "data", imageWidth: ImageSettings.imageWidth, imageHeight: ImageSettings.imageHeight, inputColumnName: nameof(ImageInput.Image))
         .Append(mlContext.Transforms.ExtractPixels(outputColumnName: "data", orderOfExtraction: ImagePixelExtractingEstimator.ColorsOrder.ARGB))
         .Append(mlContext.Transforms.ApplyOnnxModel(modelFile: modeltoInfer.ModelPath, outputColumnName: "model_outputs0", inputColumnName: "data"));
                        
 var model = pipeline.Fit(data);
 predictionEngine = mlContext.Model.CreatePredictionEngine<ImageInput, ImagePredictions>(model);

Additional context
Add any other context about the problem here.

[michaelgsharp]

In general or are you specifically wanting it for image stuff?

[crazyoutlook]

Hi Michael,
Thank you for response. I am working on Images prediction on ML.Net. Primarily I am looking this for image. But this can be done in general then it would help in all scenarios.