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 3.8 or higher from 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 [email protected]:unionai/unionai-examples.git
Install the dependencies#
Next, install the required dependencies:
$ cd unionai-examples
$ pip install -r guides/01_getting_started/ml_workflow/requirements.txt
This will install union
, scikit-learn
, pandas
, and matplotlib
.
Next step#
The next step is Setting up container image handling.