xplainfi (version 1.0.0)

sage_aggregate_predictions: Aggregate Predictions by Coalition and Test Instance

Description

Averages predictions across multiple samples (reference data or conditional samples) for each unique combination of coalition and test instance.

Usage

sage_aggregate_predictions(
  combined_data,
  predictions,
  task_type,
  class_names = NULL
)

Value

data.table with columns:

• .coalition_id: Coalition identifier (integer)

• .test_instance_id: Test instance identifier (integer)

• For classification: One column per class with averaged probabilities (numeric)

• For regression: avg_pred column with averaged predictions (numeric)

Arguments

combined_data

(data.table) Data with columns .coalition_id, .test_instance_id, and feature columns.

predictions

(matrix or numeric) For classification: matrix of class probabilities. For regression: numeric vector of predictions.

task_type

(character(1)) Task type, either "classif" or "regr".

class_names

(character() or NULL: NULL) Character vector of class names. Required for classification, ignored for regression.