The files in these examples are read only. To execute the files you will need to copy + paste the code, or download the files and upload them into your workspace.
Blue Classification is a simple classification model that serves as an introduction for creating models in Domo's Jupyter Workspace environment.
Files included in this example:
- blue.ipynb - A Jupyter notebook containing instructions and code to create the Blue Classification model, and upload it to Domo's Model Management interface.
- model.py - The entrypoint for invoking the Blue Classification model. The
EndpointHandlerclass must be implemented in order to deploy the model as an Endpoint or using the Model Inference Magic tile.
In order to execute the notebook and create the model, do the following:
- Upload blue.ipynb and model.py to a Domo Jupyter Workspace.
- Follow the instructions in blue.ipynb and execute all cells.
Optionally, start an endpoint for real-time inference:
- Find the created model in Domo's Model Management Interface.
- Go to the "Endpoint" tab and start the endpoint
- Once started, enter test data in the "Input" (e.g.
Diamond,Blue) - Click the "Test Model" button and view the prediction in the Output
- Stop the Endpoint