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Ability to use a TensorBoard class that accepts a hyperparameter repository for logging all experiment results. #7

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guillaume-chevalier opened this issue Feb 16, 2020 · 3 comments
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enhancement New feature or request help wanted Extra attention is needed wontfix This will not be worked on
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@guillaume-chevalier
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guillaume-chevalier commented Feb 16, 2020

More info here perhaps:

Note: this might be a new project in itself. Like Neuraxle-TensorBoard.

The goal would be to make it compatible with other models (e.g.: also sklearn models and pytorch) so that's why coding it in a new project might be better.

Not urgent: to review in 2 weeks or more.

@guillaume-chevalier guillaume-chevalier added enhancement New feature or request help wanted Extra attention is needed labels Feb 16, 2020
@guillaume-chevalier guillaume-chevalier changed the title Ability to use a TensorBoard hyperparameter repository for logging all experiment results. Ability to use a TensorBoard class that accepts a hyperparameter repository for logging all experiment results. Aug 4, 2020
@guillaume-chevalier
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UPDATE: it won't be a TensorBoard repository. Instead, it will be a class that accepts any repo and just processes things correctly.

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See also: Neuraxio/Neuraxle#375

@alexbrillant alexbrillant removed their assignment Aug 4, 2020
@alexbrillant alexbrillant modified the milestones: 0.1.0, 0.2.0 Aug 28, 2020
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stale bot commented Mar 1, 2022

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs in the next 180 days. Thank you for your contributions.

@stale stale bot added the wontfix This will not be worked on label Mar 1, 2022
@stale stale bot closed this as completed Aug 31, 2022
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