Training service aims to make the tuning process easily scalable in a distributed platforms. It provides a unified user experience for diverse computation resources (e.g., local ma
This command will not reinstall NNI itself, even if it was installed in development mode. Alternatively, you may install all extra dependencies at once:
We list out the three perspectives where NAS can be particularly challegning without NNI. NNI provides solutions to relieve users' engineering effort when they want to try NAS tech
In NNI, tuner will sample hyperparameters according to the search space. To define a search space, users should define the name of the variable, the type of sampling strategy and i
In NNI, the space of features is called choice; the space of lr is called loguniform; and the space of momentum is called uniform. You may have noticed, these names are derived fro
Hello, NAS! This is the 101 tutorial of Neural Architecture Search (NAS) on NNI. In this tutorial, we will search for a neural architecture on MNIST dataset with the help of NAS fr