sample_code.py

import pandas as pd
import numpy as np

def generate_sample_predictions():
    """
    Sample code to generate predictions in the required format.
    This is just a template - replace with your actual model predictions.
    """
    
    # Read test data
    test_df = pd.read_csv('dataset/test.csv')
    
    # Generate random predictions (replace with actual model)
    np.random.seed(42)
    predictions = np.random.uniform(10, 1000, len(test_df))
    
    # Create output dataframe
    output_df = pd.DataFrame({
        'sample_id': test_df['sample_id'],
        'price': predictions
    })
    
    # Save to CSV
    output_df.to_csv('test_out.csv', index=False)
    print(f"Generated predictions for {len(output_df)} samples")
    print("Sample output:")
    print(output_df.head())

if __name__ == "__main__":
    generate_sample_predictions()