[Optional] Load Historical Data

We can add some data to the OpenScale dashboard to emulate the model being in production for some time.

Run Historical Data

1.1 Open Notebook

• In Watson Studio, select the project that you previously imported and click on the 'Assets' tab on the top of the project page.

• Under the 'Notebooks' section, Click on the 'dataload-queries-monitortriggers' notebook and then click on the pencil icon to enable you to edit / run the notebook.

1.2 Update Credentials

After the notebook environment starts up, scroll down to the section titled 'Configure Service Credentials'. Copy and Paste the Cloud API Key and Watson Machine Learning credentials that you saved to a text editor earlier.

1.3 Run Notebook

• Go back to the first cell in the notebook and run just the cells in section 1 and 2 of the notebook. The other cells in section 3 and 4 are for reference. You can run the cells individually by clicking on each cell and then click the Run button at the top of the notebook.

While the cell is running, an asterisk ([*]) will show up to the left of the cell. When that cell has finished executing a sequential number will show up. Generally, you want to wait until the cell finished executing before running the subsequent cells

Explore the Watson OpenScale UI

Go back to the OpenScale dashboard and you can see the graphs now have data points from the past 7 days.

• Open the Watson OpenScale dashboard.

• When the dashboard loads, Click on the 'Model Monitors' tab and you will see the one deployment you configured in the previous section.

• Click through the different graphs for fairness, quality, and performance