SHAP Explainer for Model Feature

This function uses the Explainer class from the SHAP library to generate SHAP values for a specific feature in a model, in order to explain the impact of that feature on the model's predictions.

Technology Stack : SHAP library

Code Type : Function

Code Difficulty : Intermediate

                
                    
def random_shap_explainer(data, feature, model):
    """
    This function generates a SHAP explainer for a given feature in a model.
    """
    import shap
    explainer = shap.Explainer(model, data)
    shap_values = explainer(feature)
    return shap_values