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[FEA]: Retrieve Training and Validation Losses from DFP Pipeline #1122

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Description

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request

Low (would be nice)

Please provide a clear description of problem this feature solves

The DFP pipeline currently lacks a method to easily obtain training and validation loss. The proposed feature will allow users to quickly check the convergence of their DFP model.

Describe your ideal solution

The ideal solution would involve extracting training and validation losses from the DFP training pipeline and saving them for performance evaluation. These losses are available in the logger of the DFEncoder model; extracting and saving them would meet the requirement.

Describe any alternatives you have considered

No response

Additional context

No response

Code of Conduct

  • I agree to follow this project's Code of Conduct
  • I have searched the open feature requests and have found no duplicates for this feature request
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    dfp[Workflow] Related to the Digital Fingerprinting (DFP) workflowfeature requestNew feature or request

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