
    'YHh              	           d dl Zd dlmZ ddlmZmZ d\  ZZ	dZ
dZ ej                  de
e      ddej                  f   Z ej                  e      Z ej"                  ed ej$                   ej&                  e            z  z   d      ddej                  f   Zedej*                  j-                  ed      z  z   Zd	Zeddeddf   Zeddeddf   Zej6                  eded
z  ddf   eed
z  dz   dddf   f   Zej6                  eded
z  ddf   eed
z  dz   dddf   f   Z ej8                   ej:                  ed
z         ej:                  ed
z  dz   e      f      Z eeeed      ZejA                  e      Z! ejD                           ejF                  eedee!d        ejH                  d        ejD                           ejF                  eejK                         dede!d        ejH                  d       y)    N   )GaussProcesskernel_euclid)2         
   g{Gz?g?      gMb@?)kernel
ridgecoeffbozr.z4euclid kernel: true y versus noisy y and estimated yzbo-zgo-zr.-zJeuclid kernel: true (green), noisy (blue) and estimated (red) observations)&numpynpmatplotlib.pyplotpyplotpltkernridgeregress_classr   r   mkupperscalelinspacenewaxisxssinxs1sumsqrtabsy1truerandomrandny1stridexstrainystrainr_hstackarangeindexgp1predictyhatr1figureplottitleravel     i/var/www/html/planif/env/lib/python3.12/site-packages/statsmodels/sandbox/regression/example_kernridge.py<module>r6      s     ? !	
R[[5AbjjL) bffRj	d72776266#;///	21RZZ<	@dRYY__Qq)))	

hhqj/
XvXaZ.
%%DQqSDFS1R^+
,
%%4AaC46
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*		9299QqS>9299QqSVA#6787GM$&	S	 


 D - 			
@ A 


 w}}uVE& ? 			  r4   