Setting up your local environment#

Here we will set up your local Python environment and install the required dependencies.

Create a Python virtual environment#

Install conda using Miniconda, then run the following commands to create a new Python environment:

conda create -n ml-workflow python=3.11
conda activate ml-workflow

Install Python using your package manager or from Python.org, then run the following commands to create a virtual environment:

python -m venv venvs/ml_workflow_venv
source venvs/ml_workflow_venv/bin/activate

Clone the unionai/unionai-examples repository#

After setting up a virtual environment, clone the unionai/unionai-examples repository:

$ git clone https://github.com/unionai/unionai-examples

Install the dependencies#

Next, install the required dependencies:

$ cd unionai-examples
$ pip install -r user_guide/first_workflows/ml_workflow/requirements.txt

Next step#

The next step is Running the workflow.