/hyperopt-poc

A proof of concept for gradient-based hyperparameter optimization of real and integer-valued hyperparameters for lightweight models.

Primary LanguagePython

Hyperparameter Tuning Proof of Concept

Uses gradient-based optimization methods to optimize the accuracy of a classifier or regressor, using the classifier's hyper-parameters as the input design variables for the optimization process.