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---
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title: MLflow
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slug: /connectors/ml-model/mlflow
---
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# MLflow
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In this section, we provide guides and references to use the MLflow connector.
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Configure and schedule MLflow metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements ](#requirements )
- [Metadata Ingestion ](#metadata-ingestion )
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{% partial file="/v1.1/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/ml-model/mlflow/yaml"} /%}
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## Requirements
To extract metadata, OpenMetadata needs two elements:
- **Tracking URI**: Address of local or remote tracking server. More information on the MLFlow documentation [here ](https://www.mlflow.org/docs/latest/tracking.html#where-runs-are-recorded )
- **Registry URI**: Address of local or remote model registry server.
## Metadata Ingestion
{% partial
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file="/v1.1/connectors/metadata-ingestion-ui.md"
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variables={
connector: "Mlflow",
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selectServicePath: "/images/v1.1/connectors/mlflow/select-service.png",
addNewServicePath: "/images/v1.1/connectors/mlflow/add-new-service.png",
serviceConnectionPath: "/images/v1.1/connectors/mlflow/service-connection.png",
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}
/%}
{% stepsContainer %}
{% extraContent parentTagName="stepsContainer" %}
#### Connection Details
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- **trackingUri**: MLflow Experiment tracking URI. E.g., http://localhost:5000
- **registryUri**: MLflow Model registry backend. E.g., mysql+pymysql://mlflow:password@localhost:3307/experiments
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{% /extraContent %}
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{% partial file="/v1.1/connectors/test-connection.md" /%}
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{% partial file="/v1.1/connectors/ml-model/configure-ingestion.md" /%}
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{% partial file="/v1.1/connectors/ingestion-schedule-and-deploy.md" /%}
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{% /stepsContainer %}
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{% partial file="/v1.1/connectors/troubleshooting.md" /%}