Random Eli5 Method Demonstration with Dummy Data

The function randomly selects a method from the eli5 library and demonstrates its usage with a dummy dataset and model.

Technology Stack : eli5 library, sklearn library, Random Forest classifier, data generation

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
import random
import eli5
from eli5.sklearn import PermutationImportance

def random_eli5_function():
    # Randomly select a method from the eli5 library
    methods = [PermutationImportance, eli5.show_weights, eli5.explain_weights]
    selected_method = random.choice(methods)
    
    # Define a dummy model and data for demonstration purposes
    from sklearn.datasets import make_classification
    from sklearn.ensemble import RandomForestClassifier
    X, y = make_classification(n_samples=100, n_features=20, random_state=42)
    model = RandomForestClassifier(random_state=42)
    model.fit(X, y)
    
    # Call the selected method with dummy data
    result = selected_method(model, X)
    
    return result