Hey SuccessfulKoala55 , I'm new to Trains and want to setup an Azure Storage Container to store my model artifacts. I see that we can do this by providing an output_uri in Task.init() but is there another way to send all the artifacts to Azure instead of using the Task.init()? Like setting a variable somewhere, so that whenever I run my tasks I know the artifacts will get stored in Azure even if i dont provide an output_uri
Thanks SuccessfulKoala55
So if I set a local server, a default file server is set where the trains server is installed?
Instead of providing the output_uri
in Task.init()
, you can simply configure it in your trains.conf
file, under sdk,development.default_output_uri
Hi WhoppingPeacock84 ,
Welcome to trains! 🙂
For storage, you can simply start by using the default fileserver that comes built-in with the trains server. Trains SDK will use it by default, so assuming you have a server set up, the storage is already there 🙂