Hi,

I spotted a couple of issues with the documentation..

1. You need to return the model in the Train method, e.g.

PredictionModel<TaxiTrip, TaxiTripFarePrediction> model = pipeline.Train<TaxiTrip, TaxiTripFarePrediction>();
await model.WriteAsync(ModelPath);

return model;

2. When running the example, I get the error "Source column 'fare_amount' not found". This can be fixed by changing TaxiTrip.cs from:

[Column(ordinal: "6", "Label")]
public float fare_amount;

..to..

[Column(ordinal: "6", name: "fare_amount")]
public float fare_amount;

I suspect though, that this should have been handled by the ColumnCopier line:
pipeline.Add(new ColumnCopier(("fare_amount", "Label")));

Mike

Document details

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• ID: a30b3ff-b5e6-ff02-6f60-b5cef6f34666
• Version Independent ID: fdf962e2-620e-d9ad-5057-5f96f52dc60f
• Content: Use ML.NET to Predict New York Taxi Fares (Regression).
• Content Source: docs/machine-learning/tutorials/taxi-fare.md
• Service: dotnet-ml
• GitHub Login: @aditidugar
• Microsoft Alias: johalex