modeva.TestSuite.interpret_llm_violin#
- TestSuite.interpret_llm_violin(feature: str = None, dataset: str = 'test')#
Generates the LLM coefficients and statistics. (Violin plot under development)
This function processes the specified dataset to calculate the LLM coefficients and their associated statistics, ultimately returning a ValidationResult object that encapsulates the results of the analysis, including feature names, importance scores, and bias weights.
- Parameters:
dataset ({"main", "train", "test"}, default="test") – The data set used for calculating the explanation results.
- Returns:
A container object with the following components:
key: “llm_violin”
data: Name of the dataset used
model: Name of the model used
inputs: Input parameters
value: Dictionary containing:
”feature_names”: List of feature names
”all_bias_weight”: LLM coefficients including bias terms
”count_llms”: Count of LLMs
”feature_importance”: Feature importance scores
- Return type:
Examples
