Tutorials for customizing AutoGluon using advanced APIs.
Using the AutoGluon Core API for customized search spaces, searchable objects, and training functions, in order to hyperparameter-tune any model.
Learn how to use AutoGluon’s built-in hyperparameter search algorithms, including early-stopping strategies.
Hyperparameter search in customized objects such as your own: neural network, optimizer, dataset, etc.
Tune the hyperparameters of arbitrary Python scripts using AutoGluon.
Easily distribute the hyperparameter search arcross multiple machines to improve efficiency.
Complete example of how to use AutoGluon and its state-of-the-art schedulers and model-based searchers to tune a MLP.