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

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 🙂

Thanks SuccessfulKoala55
So if I set a local server, a default file server is set where the trains server is installed?

Basically, set my Host storage as Azure

Indeed. Same address with port 8081

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

And welcome 🙂

Thanks 🙂