stability_analysis_home_credit.py

import pandas as pd
import numpy as np
import pickle
import os

def stability_analysis_home_credit(processed_data_path, model_path):
    print("Starting stability analysis for Home Credit Default Risk dataset...")

    if not os.path.exists(processed_data_path):
        print(f"Error: Preprocessed data not found at {processed_data_path}. Skipping stability analysis for Home Credit.")
        return
    if not os.path.exists(model_path):
        print(f"Error: Trained model not found at {model_path}. Skipping stability analysis for Home Credit.")
        return

    df_processed = pd.read_csv(processed_data_path)

    with open(model_path, 'rb') as f:
        model = pickle.load(f)

    # Placeholder for stability analysis
    print("Stability analysis placeholder for Home Credit Default Risk dataset.")

    print("Stability analysis complete for Home Credit Default Risk dataset.")

if __name__ == "__main__":
    processed_data_path = "explainable-credit-scoring/data_preprocessing/home_credit_processed_data_fold0.csv"
    model_path = "explainable-credit-scoring/model_training/home_credit_model.pkl"

    stability_analysis_home_credit(processed_data_path, model_path)