<s> from __future__ import print_function <EOL> from builtins import range <EOL> import numpy as np <EOL> import matplotlib . pyplot as plt <EOL> from scipy import io as sio <EOL> import pyGPs <EOL> if __name__ == '<STR_LIT:__main__>' : <EOL> data = sio . loadmat ( '<STR_LIT>' ) <EOL> x = np . atleast_2d ( data [ '<STR_LIT>' ] ) <EOL> y = np . atleast_2d ( data [ '<STR_LIT>' ] ) <EOL> xt = np . atleast_2d ( data [ '<STR_LIT>' ] ) <EOL> yt = np . atleast_2d ( data [ '<STR_LIT>' ] ) <EOL> Q = <NUM_LIT:10> <EOL> model = pyGPs . GPR ( ) <EOL> m = pyGPs . mean . Zero ( ) <EOL> for _ in range ( <NUM_LIT:10> ) : <EOL> k = pyGPs . cov . SM ( Q ) <EOL> k . initSMhypers ( x , y ) <EOL> model . setPrior ( kernel = k ) <EOL> sn = <NUM_LIT:0.1> <EOL> model . setNoise ( log_sigma = np . log ( sn ) ) <EOL> model . optimize ( x , y ) <EOL> print ( _ , model . nlZ ) <EOL> model . predict ( xt ) <EOL> model . plot ( ) <EOL> '''<STR_LIT>''' </s>
