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pollfly
2023-05-17 10:39:38 +03:00
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docs/clearml_serving/clearml_serving_tutorial.md
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@@ -199,7 +199,7 @@ The default docker-compose installation is preconfigured with Prometheus and Gra
of both containers is *not* persistent. To add persistence, we recommend adding a volume mount.
You can also add many custom metrics on the input/predictions of your models. Once a model endpoint is registered,
adding custom metric can be done using the CLI.
adding custom metrics can be done using the CLI.
For example, assume the mock scikit-learn model is deployed on endpoint `test_model_sklearn`, you can log the requests
inputs and outputs (see examples/sklearn/preprocess.py example):