def transform_data()

in machine-learning/container/scripts/predictor.py [0:0]

• 6 lines of code
• 1 McCabe index (conditional complexity)

def transform_data(dataset):
    #######
    dataset = dataset.dropna()
    dataset = dataset.astype('float32')
    
    #######
    scaler = load(open(os.path.join(model_path, 'scaler.pkl'), 'rb'))

    # Feature Scaling
    dataset = scaler.fit_transform(dataset)
    return pd.DataFrame(dataset)