

import pandas as pd import numpy as np import matplotlib.pyplot as plt from matplotlib.font_manager import FontProperties from sklearn.linear_model import Lasso from sklearn.linear_model import Ridge from sklearn.linear_model import ElasticNet %matplotlib inline font = FontProperties(fname='/Library/Fonts/Heiti.ttc')
df = pd.read_csv('housing-data.txt', sep='\s+', header=0) X = df[['RM']].values y = df['MEDV'].values