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articles/machine-learning/how-to-track-experiments-mlflow.md

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## Example notebooks
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The [MLflow with Azure ML notebooks](https://github.com/Azure/azureml-examples/tree/master/notebooks/using-mlflow) demonstrate and expand upon concepts presented in this article.
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The [MLflow with Azure ML notebooks](https://github.com/Azure/azureml-examples/tree/v2samplesreorg/v1/notebooks/using-mlflow) demonstrate and expand upon concepts presented in this article.
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* [Training and tracking a classifier with MLflow](https://github.com/Azure/azureml-examples/blob/v2samplesreorg/v1/notebooks/using-mlflow/train-with-mlflow/xgboost_classification_mlflow.ipynb): Demonstrates how to track experiments using MLflow, log models and combine multiple flavors into pipelines.
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* [Manage experiments and runs with MLflow](https://github.com/Azure/azureml-examples/blob/v2samplesreorg/v1/notebooks/using-mlflow/run-history/run_history.ipynb): Demonstrates how to query experiments, runs, metrics, parameters and artifacts from Azure ML using MLflow.

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

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## Example files
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[Using MLflow (Jupyter Notebooks)](https://github.com/Azure/azureml-examples/tree/main/notebooks/using-mlflow)
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[Using MLflow (Jupyter Notebooks)](https://github.com/Azure/azureml-examples/tree/v2samplesreorg/v1/notebooks/using-mlflow)
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## Limitations
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