VESSL AI provides end-to-end machine learning services for dataset mount, machine learning experiment training, hyperparameter sweep, and model managing. This document will guide you to the general end-to-end workflow of how to use those features using VESSL CLI and SDK thoroughly.
In the tutorials below, an organization and a project on VESSL are required. We recommend creating an organization and a project in VESSL Web Console. For convenience, the organization name will be
YOUR_ORGANIZATION_NAMEand the project name will be
YOUR_PROJECT_NAME. Just replace them with the organization name and project name you created, respectively.
After the organization setup is complete, you need to create a machine learning project. Similarly, refer to the create a project page in the Web Console and create a project with a cool project name.
To use VESSL CLI or SDK, you need to install VESSL Client. Execute the following command in your terminal.
pip install vessl
After successfully creating the organization and project in VESSL Web Console and installing VESSL Client, let's start the machine learning journey with VESSL.