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How To Do Continuous Training With Trains? Can Someone Share Examples Or Docs To Get Started With Continuous Learning.
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I want to trigger a retrain task when F1
That means that in inference you are reporting the F1 score, correct?
As part of the retraining I have to train all the models and then have to choose best one and deploy it
Are you using passing output_uri to Task.init? are you storing the model as artifact?
You can tag your model/task with "best" tag (and untag the previous one). Then in production , look for the "best" task and get its model
Thoughts?
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