def METHOD_NAME(**context):
    from deepchecks.tabular.suites import model_evaluation
    from deepchecks.tabular import Dataset
    train_df = pd.read_csv(context['params']['train_path'])
    test_df = pd.read_csv(context['params']['test_path'])
    model = joblib.load(context['params']['model_path'])
    train = Dataset(train_df, label='label', cat_features=[])
    test = Dataset(test_df, label='label', cat_features=[])
    suite_result = model_evaluation().run(train_dataset=train, test_dataset=test, model=model)
    suite_result.save_as_html('model_validation.html')
    hook = S3Hook('aws_connection')
    hook.load_file(
        filename='model_validation.html',
        key='results/model_validation.html',
        bucket_name=context['params']['bucket'],
        replace=True
    )
    return suite_result.passed()