An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Describe the issue:
A set of hyper-parameter had nice worked on my model before hyper-parameter searching. The set is still best than all of hyper-parameter searched by nni. How to experiment start from a fixed set of hyper-parameter within search space? Thanks.
Describe the issue: A set of hyper-parameter had nice worked on my model before hyper-parameter searching. The set is still best than all of hyper-parameter searched by nni. How to experiment start from a fixed set of hyper-parameter within search space? Thanks.