Magic of Auto¶
Hyperparameter tuning is usually painful for machine learning practioners. In order to help users focus on the most important part, GraphVite provides an auto deduction for many hyperparameters. Generally, auto deduction will maximize the speed of the system, while keep the performance loss as small as possible.
To invoke auto deduction, we can simply leave hyperparameters to their default
values. An explicit way is to use
auto in configuration files, or value
gv.auto in Python.
Here lists hyperparameters that support auto deduction.
resource: gpus:  gpu_memory_limit: auto cpu_per_gpu: auto build: optimizer: auto num_partition: auto episode_size: auto train: # for node embedding augmentation_step: auto
The auto value for
gpus is an empty list.