def main():
# network=pa.read_csv("housing_data.csv",header=None)
data = pa.read_csv("housing_data.csv",header=None).values[:,:]
binaryData=preprocess_2(data)
target=data[:,13]
rmse_linear=linear_regression(binaryData,target)
#rmse_l1CV=lassoCV_regression(binaryData,target)
print("Mean RMSE of linear regression="+str(np.mean(rmse_linear)))
def main():
data = pa.read_csv("housing_data.csv",header=None).values[:,:]
binaryData=preprocess_2(data)
target=data[:,13]
alphas=np.array([0.1,0.01,0.001])
rmse_linear=linear_regression(data[:,0:13],target,)
rmse_l2=ridge_regression(binaryData,target,alphas)
rmse_l1=lasso_regression(binaryData,target,alphas)
#rmse_l1CV=lassoCV_regression(binaryData,target)
print("Mean RMSE of linear regression="+str(np.mean(rmse_linear)))
print("Mean RMSEs of Lasso regression="+str(rmse_l1))
print("Mean RMSEs of Ridge regression="+str((rmse_l2)))
