Dashboard Widgets

Correlate a Feature Over Time

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag 'Timeseries' widget square

Define a the plot by specifying what metric you'd like to see, which Feature / Tag / Actual / Prediction Value you'd like to see first.

Overlay important metadata like tags by toggling on "Group metric by feature or tag"

Enjoy your powerful dashboard view!

Track Key Slice Performance

How to create a widget within a dashboard that shows key slice performance over time

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag the Time Series widget creation button

Define the first plot by specifying the model, what metric you'd like to see, and the model environment: Production, Pre-production (Validation or Training) and version if applicable.

Duplicate the plot to quickly start defining your 2nd plot

Add a filter to specify the slice in the 2nd plot

Success!

Analyze Top Performing Features

How to create a widget within a dashboard that analyzes your top performing features

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag the Distribution widget creation button

Define the first plot by specifying the model, what metric you'd like to see, model environment: Production, Pre-production (Validation or Training), version (if applicable) and what (features, actuals, predictions, etc) you will be displaying the "distribution over".

Success!

Evaluate Performance Across Distributions with Heatmaps

How to create a widget within a dashboard where you can evaluate a heatmap of performance across distributions

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag the Distribution widget creation button

Define the base plot by specifying the model, what metric you'd like to see, model environment: Production, Pre-production (Validation or Training), version (if applicable) and what (features, actuals, predictions, etc) you will be displaying the "distribution over".

Success!

Compare Predictions vs Actuals

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag the Distribution widget creation button

Define the first plot by specifying the model, what metric you'd like to see, model environment: Production, Pre-production (Validation or Training), version (if applicable) and what (features, actuals, predictions, etc) you will be displaying the "distribution over". In this case, we're looking at Prediction Class

Update the second plot to Actual Class to specify what the second plot will be distributing over

Success!

Highlight Key Performance Metrics

Begin with an existing dashboard, blank dashboard, or start with a created template

Enter edit mode

Select or Drag 'Statistic' widget square

Define the widget by specifying the evaluation/performance metric. Then define the rest of the dataset by specifying model, what metric you'd like to see, model environment: Production, Pre-production (Validation or Training), version (if applicable).

Success!