Tune Custom Models¶
Tutorials to hyperparameter-tune any custom models or Python code.
Search Space and Decoratorcore.html
Using AutoGluon’s Core APIs to hyperparameter-tune any model/code by making existing objects/training-functions searchable.
Search Algorithmsalgorithm.html
How to use AutoGluon’s built-in hyperparameter search algorithms, including early-stopping strategies.
Searchable Objectsobject.html
Tune the hyperparameters of custom objects such as your own: neural network, optimizer, dataset, etc.
Tune Training Scriptsscript.html
Tune the argument values (hyperparameters) of arbitrary Python scripts using AutoGluon.
Distributed Searchdistributed.html
Easily distribute the hyperparameter search across multiple machines to improve efficiency.
Example: Tune a Multi-Layer Perceptronmlp.html
Complete example of using AutoGluon’s state-of-the-art hyperparameter optimization to tune a basic MLP model.