openml/openml-python

What it solves

It simplifies the process of accessing and sharing machine learning resources by providing a programmatic interface to OpenML, an online platform dedicated to open science collaboration in ML.

How it works

The library acts as a Python API that allows users to interact with the OpenML platform. It enables the downloading of datasets and machine learning experiment results, as well as the uploading of new data and results to the platform. It also provides tools to retrieve specific tasks (such as supervised classification) and access curated benchmarking suites containing lists of ML tasks.

Who it’s for

It is designed for machine learning researchers and practitioners who want to easily integrate open-source datasets and standardized tasks into their workflows or share their own experiment results for collaborative science.

Highlights

• Easy retrieval of datasets by name or ID.
• Support for retrieving specific ML tasks and their associated train-test split indices for cross-validation.
• Access to curated benchmarking suites for standardized ML evaluation.
• Capability to upload experiment results and data to the OpenML platform.