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Update how-to-use-mlflow-cli-runs.md
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articles/machine-learning/how-to-use-mlflow-cli-runs.md

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@@ -131,9 +131,9 @@ Use MLflow SDK to track any metric, parameter, artifacts, or models. For detaile
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All Azure Machine Learning environments already have MLflow installed for you, so no action is required if you're using a curated environment. If you want to use a custom environment:
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1. Create a `conda.yml` file with the dependencies you need:
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1. Create a `conda.yaml` file with the dependencies you need:
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:::code language="yaml" source="~/azureml-examples-main//sdk/python/using-mlflow/deploy/environment/conda.yml" highlight="7-8" range="1-12":::
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:::code language="yaml" source="~/azureml-examples-main//sdk/python/using-mlflow/deploy/environment/conda.yaml" highlight="7-8" range="1-12":::
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1. Reference the environment in the job you're using.
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