sclbl 0.0.1

Python package for uploading sklearn and onnx models to Scailable toolchain.

The sclbl CLI tools.

Main usage:

$ sclbl upload -f file.onnx -n "Model name"

The package exposes the following commands:

• upload : Upload an onnx file to the Scaailable Platform. Options:
• update : Update an existing model using its cfid
• models : List all models associated with the current user ID
• devices : List all registered devices associated with the current user ID
• assignments : List all assignments associated with the current user ID
• assign : Create a new assignment
• delete : Delete a model, assignment, or id.

Each of the commands above requires logging in to the Scailable platform using a valid username and password combination. See www.scailable.net for details. Upon first login, you will be asked to store your username and password locally. You can remove the stored local details using:

• • sclbl reset : Reset you user details.

See sclbl command --help for additional information and the required arguments/options.

Note that the sclbl CLI depends on the sclblpy package. See https://pypi.org/project/sclblpy/ for details. The CLI needs at least version 0.1.6 of the sclblpy package to work. If you would like to upload fitted sklearn models, please use the sclblpy package directly from python.