Overview

We provide a set of examples here to get started with OpenML-Python. These examples cover various aspects of using the OpenML API, including downloading datasets, uploading results, and working with tasks.

Basics¶

1. Installing and setting up OpenML-Python
2. Downloading datasets
3. Using tasks
4. Uploading experiment results
5. Working with collections of tasks

Advanced¶

1. Getting splits for datasets from tasks
2. Creating and uploading datasets
3. Searching and editing datasets
4. Searching and creating tasks
5. Listing, downloading, and uploading suites
6. Listing, downloading, and uploading studies
7. Downloading evaluation results
8. Configuring logging