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Description
openedon Dec 15, 2022
System Information (please complete the following information):
- Model Builder Version (available in Manage Extensions dialog): 16.14.0.2255902
- Visual Studio Version
Describe the bug
- On which step of the process did you run into an issue: Model Builder
- Clear description of the problem: When using model builder to train a model, the resulting model input class does not have the loadcolumn attribute, which makes my existing code to consume the ML model (make predictions using data from a .csv file) useless. In previous posts, it was mentioned that this was fixed in versions 16.14.0, however this does not seem to be the case.
To Reproduce
Steps to reproduce the behavior:
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- Click on '....'
- Scroll down to '....'
- See error
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots
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Additional context
Here is a snippet of my code. It fails when I try use LoadFromTextFile.
static void Main(string[] args)
{
Console.WriteLine("Hello World!");
////begin
///
//create mlContext
var mlContext = new MLContext();
//load data from csv file
IDataView testData = mlContext.Data.LoadFromTextFile<MLModel1.ModelInput>(testDataPath, separatorChar: ',', hasHeader: true);
// Set-up prediction pipeline
DataViewSchema predictionPipelineSchema;
ITransformer predictionPipeline = mlContext.Model.Load("MLModel.zip", out predictionPipelineSchema);
//apply transformations and generate predictions
IDataView predictions = predictionPipeline.Transform(testData);
//inspect predicted values
var predictionColumn = predictions.GetColumn<string>("PredictedLabel").ToArray();
//IEnumerable<float> scoreColumn = predictions.GetColumn<float>("Score").ToList();
//// Create an IEnumerable of ModelOutput objects from IDataView
IEnumerable<MLModel1.ModelOutput> predictionsEnumerable =
mlContext.Data.CreateEnumerable<MLModel1.ModelOutput>(predictions, reuseRowObject: true);
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