Model Explainer

The user can explore the AutoML models using the Explainer dashboard with multiple charts that aim to explain the model specifications.

Please Note: The Model Explainer functionality has been provided for the Data Science Lab models and Auto ML models.

The user can click on the below given links to get redirected to the respective pages.

1. The Model Explainer functionality for Auto ML Models

2. The Model Explainer functionality for Data Science Models (This has been included inside the Models section of the Operations for an .ipynb File)

• Navigate to the Model tab of a Repo Sync project.

• Select an Auto ML model from the displayed list.

• Click the Expand for Models option.

• Click the Model Explainer option.

• The Model Explainer page opens explaining the selected Auto ML model.

• This page displays the various tabs to explain the Auto ML model.

• The Feature Importance tab opens by default.

Sample Model Explainer image for the selected Auto ML model

Please Note:

• The Model Explainer dashboard will display the charts based on the selected Algorithm types (Classification and Regression).

• Other than Classification Stats and Regression Stats the other tabs display similar plots for both Classification and Regression models.

• Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell.