"""
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Regresszio SVM-mel (x^3-x)
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"""

print(__doc__)

import numpy as np
import matplotlib.pyplot as plt
from sklearn.svm import SVR

# tanitohalmaz
x=np.arange(-2,3,0.2).reshape(25,1)   
y=(x**3-x).reshape(25,) 

# halozat elkeszitese es tanitasa
svm=SVR(gamma=1,C=1,kernel='poly')
svm.fit(x,y)
 
# tesztpontok
test_x=np.random.uniform(-3,4,30)     

# abrazolas
plt.plot(x,y,'g-')  
plt.plot(test_x,svm.predict(np.reshape(test_x,(30,1))),'b*') 
plt.show()