def get_feature_importance_page()

in src/responsibleai/rai_analyse/_score_card/common_components.py [0:0]

• 22 lines of code
• 2 McCabe index (conditional complexity)

def get_feature_importance_page(data):
    fi_left_heading = p(
        "Understand factors that have impacted your model predictions the most. "
        "These are factors that may account for performance levels and differences."
    )
    feature_list = ul()
    for k, v in data.items():
        feature_list.append(li("{}: {}".format(v["short_label"], k)))

    container = div(fi_left_heading, feature_list, _class="nobreak_div")

    fi_left_container = div(container, _class="left")

    heading_main = div(
        h3("Feature Importance"),
        p("Shown below is the mean of SHAP value of the most important features:"),
        get_fi_image(data),
        _class="main",
    )
    return div(
        get_page_divider("Feature Importance (Explainability)"),
        fi_left_container,
        heading_main,
        _class="container",
    )