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Update how-to-log-view-metrics.md
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articles/machine-learning/how-to-log-view-metrics.md

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> [!TIP]
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> MLflow can retrieve metrics and parameters from multiple runs at the same time, allowing for quick comparisons across multiple trials. Learn about this in [Manage experiments and runs with MLflow](how-to-track-experiments-mlflow.md).
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Any artifact logged by a run can be queried by MLflow. Artifacts can't be access using the run object itself and the MLflow client should be used instead:
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Any artifact logged by a run can be queried by MLflow. Artifacts can't be accessed using the run object itself and the MLflow client should be used instead:
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```python
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client = mlflow.tracking.MlflowClient()

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