We will training a series of models on Grid. Now, in order to make the process of updating the dataset easier we will be creating a Grid Datastore. Datstores are collections of files that are versioned and can be mounted anywhere in the experiment context.
We'll be creating a new Datastore using the Grid CLI with the following command:
Whenever your datastore has Status of Succeeded you are ready to go on training.
Step 2: Train Your Model on Grid AI
You are now ready to train your model on Grid.
We'll be using the CLI but you can do the same thing by using the web UI. We have placed a configuration file locally (.grid/config.yml) that you can use as reference instead of passing all the parameters to the CLI manually.