Visualizing SHAP Values with SHAP Library

This code defines a function that uses the SHAP library to visualize SHAP values for a given model on a dataset.

Technology Stack : The packages and technologies used in this code are SHAP, numpy, pandas, and sklearn.

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
import shap
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier

def visualize_shap_values(data, target, model):
    """
    Visualize the SHAP values for a given model on a dataset.

    Parameters:
    - data: pandas DataFrame or numpy array, the input data.
    - target: pandas Series or numpy array, the target variable.
    - model: sklearn estimator, the model to visualize SHAP values for.
    """
    explainer = shap.TreeExplainer(model)
    shap_values = explainer.shap_values(data)
    shap.summary_plot(shap_values, data, feature_names=data.columns)