
    M/Ph              	          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                            ed          z  z   Zd	Zeddeddf         Zeddeddf         Zej        eded
z  ddf         eed
z  dz   dddf         f         Zej        eded
z  ddf         eed
z  dz   dddf         f         Z ej         ej        ed
z             ej        ed
z  dz   e          f          Z eeeed          Ze                     e          Z! ej"                      ej#        eedee!d            ej$        d            ej"                      ej#        ee%                                dede!d            ej$        d           dS )    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     p/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/statsmodels/sandbox/regression/example_kernridge.py<module>r6      s             ? ? ? ? ? ? ? ? !	
R[5AAAbjL) bfRjj	d727626#;;////	2	2111RZ<	@dRY__Qq))))	

hhhqqqj/
XXvXaaaZ.
%DQqSDFS1R^+
,
%4AaC46
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*	929QqS>>929QqSVA#6#6788l7GM$& & &	S		 

 D - - - 		
@ A A A 

 w}}uVE& ? ? ? 		      r4   