mlcommons / mlcommons/mlcube_examples

mnist_openfl should output data sizes

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Dominant language
Python
Stars
33
Forks
32
PR merge metrics
No merged PRs in 30d

Description

We missed a requirement: the metrics files should contain data sample counts for their relative operations. We can use any key names we like, so long as they're known at configuration time.

"Training samples", "Evaluation samples", "Validation samples", etc...

Contributor guide

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Locate the mnist_openfl example's metrics generation and configuration, then inspect how training, evaluation, and validation operations write metrics files. Done means the relevant metrics files contain configured data sample counts for their relative operations.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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