WorkSpace: SKIL Workspace
In SkymindIO/skilr: Train, deploy and manage your R models with SKIL

Description Usage Arguments Details Examples

Workspaces are a collection of features that enable different tasks such as conducting experiments, training models, and test different dataset transforms.

1 2	WorkSpace(skil = NULL, name = NULL, labels = NULL, verbose = FALSE, create = TRUE)

`skil:`	Skil server instance
`name:`	string. Name for the workspace.
`labels:`	string. Labels associated with the workspace, useful for searching (comma seperated).
`verbose:`	boolean. If True, api response will be printed.
`create:`	boolean. Internal, do not use.

Workspaces are distinct from Deployments by operating as a space for non-production work.

## Not run: 
library(skilr)

# Creating a SKIL workspace
skil <- Skil(host='localhost', port=9008, user_id='admin', password='admin')
ws   <- Workspace(skil, name='test_workspace')


## End(Not run)