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'.

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

```
type MLDataRow =
{
[]
Label: float32
[]
Features: float32 array
}
```

One label, and 80 floats as features.

The class for the output is:
```
[]
type MLPrediction =
{
[]
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' 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:

```
[]
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.