orange3-automl 0.1.3

Orange3 add-on for H2O and AutoGluon AutoML Learning.

Orange3-AutoML

This leverages several AutoML providers in Orange3.

Within the Add-ons installer, click on "Add more..." and type in orange3-automl
Currently the dependencies require 7.4 GBs of free disk space.

Here is an example workflow using the iris dataset.

Selection of AutoML Providers

Currently Supported

Provider	Version	Notes
h2o	3.4.4	Works well.
autogluon	1.4.0	There a bug on xgboost 2.0.3 through 2.1.3, which doesn't work with scikit-learn 1.7.1 (autogluon requires scikit-learn between 1.4.0 and 1.8.0)
auto-sklearn2	1.0.0	Works well.

Unsupported

I have tried the following packages and deemed them unsuitable.

Provider	Version	Reason
mlbox	0.8.5	Last updated 2020, requires old numpy (won't compile)
smac	2.3.1	Requires installing swig before pip install, Orange interface doesn't have that interface
auto-sklearn	0.24.2	Last updated 2022, Won't compile on python 3.12
tpot2	0.1.9a0	Installs, but ran into issues with server hangs.
Google CloudAutoML	x	Cloud-based, requires accounts, sends data to Google

Unevaluated

I have not researched the following yet.

Provider	Version	Reason
ludwig
transmogrifai
evalml
MLJAR