Error with PredictSinglePrice method

[msetodev]

When attempting to predict the price of a single house, via

HouseData hd = new HouseData() { Area = "76", BedRooms = 3, BedRoomsBsmt = 0, FullBath = 2, HalfBath = 0, Rooms = 7, ApproxSquFeet = 1300, GarageType = "Attached", GarageSpaces = 2 };

HousePricePrediction.PredictSinglePrice(hd, mlContext, _modelPath);
The following error occurs:

'Type should contain a member named CatGarageType'

It highlights the following line:

var predictionFunction = mlContext.Model.CreatePredictionEngine<HouseData, HousePrediction>(loadedModel, dataViewSchema);

[msetodev]

I used the same method as the set method, only I submit a single HouseData[] object.

public static float[] PredictSinglePrice(HouseData[] houseData, string dataTransformModelPath, string outputModelPath)
{
// Create a new context
MLContext mlContext = new MLContext();

        // Create a data view from the house data object
        IDataView data = mlContext.Data.LoadFromEnumerable<HouseData>(houseData);

        // Define data preparation and trained model schemes
        DataViewSchema dataPrepPipelineSchema, modelSchema;

        // Load data preparation pipeline and trained model
        ITransformer dataPrepPipeline = mlContext.Model.Load(dataTransformModelPath, out dataPrepPipelineSchema);
        ITransformer trainedModel = mlContext.Model.Load(outputModelPath, out modelSchema);

        // Transform inbound data
        var transformedData = dataPrepPipeline.Transform(data);

        // Use transform to produce a set of predictions
        var predictedPrices = trainedModel.Transform(transformedData);

        // Get the result set and print out the values
        float[] results = new float[houseData.Length];
        var scoreColumn = predictedPrices.GetColumn<float>("Score");

        int i = 0;
        foreach (var r in scoreColumn)
        {
            Console.WriteLine(r);
            results[i++] = r;
        }

        return results;
    }

`

[junwin]

Take a look at the Program.cs main method, I have included examples of using both Single Price prediction and cross-validation.
Cross-validation produces both a data preparation pipeline and a separate trained model you would need to use both when using the predict function.

[msetodev]

Take a look at the Program.cs main method, I have included examples of using both Single Price prediction and cross-validation.
Cross-validation produces both a data preparation pipeline and a separate trained model you would need to use both when using the predict function.

As I mentioned in the issue, the PredictSinglePrice is not working as there is an exception in the HousePricePrediction class.

System.InvalidOperationException: 'Type should contain a member named CatGarageType' at

var predictionFunction = mlContext.Model.CreatePredictionEngine<HouseData, HousePrediction>(loadedModel, dataViewSchema);