  import fate

def main(config_file):
    # Load configuration file
    config = fate.config.load(config_file)

    # Create pipeline
    pipeline = fate.Pipeline()

    # Add data reading step
    pipeline.add_step(fate.data.read_data(config['data_path']))

    # Add data transformation step
    pipeline.add_step(fate.data.transform(config['transform_params']))

    # Add intersection step
    pipeline.add_step(fate.data.intersect(config['intersect_params']))

    # Add feature scaling step
    pipeline.add_step(fate.data.scale(config['scale_params']))

    # Add feature binning step
    pipeline.add_step(fate.data.bin(config['bin_params']))

    # Add data statistics step
    pipeline.add_step(fate.data.statistics())

    # Add Pearson correlation step
    pipeline.add_step(fate.data.pearson_correlation())

    # Add one-hot encoding step
    pipeline.add_step(fate.data.one_hot_encode(config['one_hot_encode_params']))

    # Add feature selection step
    pipeline.add_step(fate.data.select_features(config['select_features_params']))

    # Add logistic regression step
    pipeline.add_step(fate.model.logistic_regression(config['logistic_regression_params']))

    # Add evaluation step
    pipeline.add_step(fate.model.evaluate())

    # Set roles for guest, host, and arbiter
    pipeline.set_role(guest=config['guest'], host=config['host'], arbiter=config['arbiter'])

    # Compile and fit pipeline
    pipeline.compile_and_fit()

if __name__ == '__main__':
    main()