Can't find the right data type: Can't bind the IDataView column 'Score' of type 'Vector<Single, 7>' to field or property 'Score' of type 'System.Single'.

[Thomas]

Using F#, I've trained a multi-class model, my input class is simple:

type MLDataRow =
    {
        [<ColumnName "Label"; LoadColumn(0)>]
        Label: float32
        [<ColumnName "Features"; VectorType(80); LoadColumn(1, 80)>]
        Features: float32 array
    }

One label, and 80 floats as features.

The class for the output is:

[<CLIMutable>]
type MLPrediction =
    {
        [<ColumnName "Features"; VectorType(80)>]
        Features        : float32 array
        PredictedLabel  : float32
        Score           : float32
        Probability     : float32
    }

But when getting the prediction, I run into:

Can't bind the IDataView column 'Score' of type 'Vector<Single, 7>' to field or property 'Score' of type 'System.Single'.

So I assumed it would need a float per class, and in the output I tried:

Score           : float32 array

That resulted in:

Operation is not valid due to the current state of the object.

Then I added the VectorType attribute:

[<VectorType(7)>]
Score           : float32

Which resulted in the same error.

I'm completely cluless about what it is expecting, but also a bit frustrated because I've read the docs several times and I still don't understand well how the data pipeline works.

In fact, I am saving my data to CSV and loading from file because I can't even get it to load from the input type described above.