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.