Autogluon.bench

We're excited to announce the release of AutoGluon-Bench 0.0.2! This release provides support for easily adding custom datasets for `multimodal` module, and added support for running datasets on different multimodal `problem_type`

For more details, please check out the [README](https://github.com/autogluon/autogluon-bench/blob/734f14f6b746485523410448ee036960f7c75cb8/README.md).

Main Features

Supports benchmarking on custom datasets on different problem types for multimodal module.

This release contains 2 [commits](https://github.com/autogluon/autogluon-bench/compare/v0.0.1...v0.0.2) from 2 contributors.

Full Contributor List (ordered by of commits):
suzhoum , gidler

This release supports Python versions 3.8, and 3.9.

We hope you enjoy the new features in this release! Please don't hesitate to reach out to us with any questions or feedback.

We're excited to announce the release of AutoGluon-Bench 0.0.1! AutoGluon-Bench enables users to run large-scale benchmarks on AutoML frameworks. Currently, the initial release supports benchmarking for AutoGluon tabular and multimodal modules in both local and cloud (AWS) modes.

For more details, please check out the [README](https://github.com/autogluon/autogluon-bench/blob/734f14f6b746485523410448ee036960f7c75cb8/README.md).

Main Features

- Feature 1: Supports benchmarking on custom branches for tabular and multimodal.
- Feature 2: Supports running a single job in local mode and multiple parallel jobs in AWS mode.

This release contains 7 [commits](https://github.com/autogluon/autogluon-bench/commits/v0.0.1) from 2 contributors.

Full Contributor List (ordered by of commits):
suzhoum , gidler

This release supports Python versions 3.8, and 3.9.

We hope you enjoy the new features in this release! Please don't hesitate to reach out to us with any questions or feedback.