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Clarify async logging recommendation
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articles/machine-learning/how-to-log-view-metrics.md

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@@ -172,8 +172,8 @@ import mlflow
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mlflow.config.enable_async_logging()
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```
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It is recommended to use above global flag when you want to influence the logging behavior at all places and/or you are using some
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wrapper library that wraps mlflow for logging actual metrics.
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It is recommended to use above global flag when you want to enable asynchronous logging of metrics throughout your code
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and/or you are using some wrapper library that wraps mlflow for logging actual metrics.
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The same property can be set, using an environment variable:
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