Skip to main content
RowDataSource allows you to perform explainability analysis on a specific data row by providing the row data directly. This is useful when you want to explain a particular prediction or analyze feature importance for a specific instance without referencing stored data. This data source type is ideal for real-time explanations, ad-hoc analysis, or when you have specific data points that you want to analyze independently of your stored datasets.

Examples

Creating a row data source for a loan application:
Creating a row data source for image classification:

Attributes

Data source type discriminator; fixed as ROW.
Dictionary mapping column names to values for the row to explain.