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README.md

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### Set Up MLflow
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Ensure MLflow is installed on your system. To avoid common installation issues and keep dependencies isolated, create and activate a Python virtual environment as follows:
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Ensure MLflow is installed on your system:
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```bash
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pip install mlflow
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```
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For MacOS users, we recommend creating and activating a Python virtual environment to avoid common installation issues and keep dependencies isolated:
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```bash
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python3 -m venv mlflow-venv
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source mlflow-venv/bin/activate
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pip install mlflow
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```
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**Note:** MLflow is compatible with MacOS. If you encounter issues with the default system Python, consider installing Python 3 via the Homebrew package manger using `brew install python`. In this case, installing MLflow is now `pip3 install mlflow`.
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Remember to activate your virtual environment (`source mlflow-venv/bin/activate`) each time you open a new terminal before running MLflow commands.
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### Start the MLflow Tracking Server

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