NNI provides an easy way to adopt an approach to set up parameter tuning algorithms, we call them Tuner.
Tuner receives metrics from Trial to evaluate the performance of a specific parameters/architecture configures. And tuner sends next hyper-parameter or architecture configure to Trial.
In NNI, we support two approaches to set the tuner: first is directly use builtin tuner provided by nni sdk, second is customize a tuner file by yourself. We also have Advisor that combines the functinality of Tuner & Assessor.
For details, please refer to the following tutorials:
.. toctree::
:maxdepth: 2
Builtin Tuners<BuiltinTuner>
Customized Tuners<CustomizeTuner>
Customized Advisor<CustomizeAdvisor>