AutoML: consider adding precision in checkpoint file

Nightly, VS 2022, .NET 7.0

The checkpoint file has columns with 3-digit precision. In some cases I see loss being exactly the same on every run in the checkpoint file. I would like to confirm it it is exactly (or almost) same prediction. Therefore I would like to see 5-digit values in this file.

I think, in difficult problems it may also help the tuner to go to correct direction.

I know it is a minor issue to go 0.01% level but I also think there is no downside to adding precision to this file.

Example
Cost-frugal tuner. Are these results not improving because of the type of the data, or because the changes to params are too small?

Inizia individuando il writer dei file di checkpoint di AutoML e il codice del tuner attento ai costi, quindi esamina gli eventuali test esistenti per l’output dei checkpoint o i risultati del tuning. L’issue è completata quando i valori numerici nei checkpoint usano una precisione di cinque cifre e l’output conferma se predizioni o losses ravvicinate differiscono.