modeva.TestSuite.interpret_local_moe_weights#
- TestSuite.interpret_local_moe_weights(dataset: str = 'test', sample_index: int = 0)#
- Calculate and visualize expert weights for a specific sample. - Parameters:
- dataset ({"main", "train", "test"}, default="test") – The dataset containing the sample to analyze. 
- sample_index (int, default=0) – The index of the sample in the selected dataset. 
 
- Returns:
- Contains mixture-of-experts weight analysis: - key: “interpret_local_moe_weights” 
- data: Name of the dataset used 
- model: Name of the model used 
- inputs: Input parameters 
- value: Dictionary with expert names, weights, feature names and values 
- options: Dictionary of visualizations configuration for a bar plot where x-axis is expert id, and y-axis is the expert weights. Run results.plot() to show this plot. 
 
- Return type:
 - Examples 
 
     
