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Hey All. Is There A Best Practice Approach To Deploying Models Trained In Clearml? Does Anyone Have A Standard Workflow That They Employ?
In particular, I am trying to find a neat way to query all models available, and use tags to know the context. As it stands, I log the model accuracies/RMEs as part of the metadata, alongside the training data filepath. Issue is that this is not the neatest way of querying models across tasks without a lot of laborious manual lifting. Suggestions welcome
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3 years ago
one year ago