dotnet / dotnet/machinelearning
AutoML: consider adding precision in checkpoint file
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Description
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?

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