In python using Numpy only

Sample output

def center_feature(feature): (3 pts) This function performs feature-centering for 1-D numpy array, and returns the centered features back as a 1-D numpy array. Parameters: feature: a 1-D numpy array that represents a column (feature values) for a given feature in your database return None def absolute_scale(feature): (3 pts) This function scales given feature values by their absolute maximum value. It receives a 1-D numpy array, and returns the the scaled features back as a 1-D numpy array. Parameters: feature: a 1-D numpy array that represents a column (feature values) for a given feature in your database In [3]: test1 = np.array([2, 4, 6, 8]) In [4]: ww3.centerFeature(testi) Out[4]: array([-3., -1., 1., 3.]) In [5]: hws.absoluteScale(testi) Out[5]: array ( [0.25, 0.5, 0.75, 1. ])