Setup MarkovML SDK
Install the MarkovML Python SDK on your system to integrate MarkovML into your ML development workflows
This guide is meant for team members who code ML pipelines/ models. You can skip this documentation if you only use the no-code UI.
NOTE
For help with the SDK or product feedback, please join our Slack community here.
Overview
This guide will walk you through installing the MarkovML Python SDK / CLI tools on your system. If you have an existing installation of MarkovML SDK, click here to see the upgrade instructions. You can check the latest version of SDK on the top right corner of your MarkovML dashboard.
MarkovML supports Python 3.8 to 3.10
Install MarkovML
If you are a first-time user, install MarkovML by running the command:
If you are upgrading your installation, refer to Upgrading your CLI version.
Initialize MarkovML
Default initialization
Once the MarkovML CLI has been installed, initialize MarkovML by running
and follow the instructions. Congratulations! 🎉 You are now ready to start using MarkovML.
Initialization in a headless environment
The default initialization method requires a system with a web browser to authenticate. To initialize MarkovML in a headless environment, run the following command with your API token.
To locate your API token, navigate to Settings > Tokens from within the MarkovML web app. You can copy the CLI command from this view as well.
Next Steps
To get more familiar with MarkovML, check out our Fundamentals pages which explain concepts like Datasets, Projects, and Models. Or you may want to start by registering a dataset and then running a model training experiment or recording a model evaluation.
Last updated
Was this helpful?