apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-04-29 23:06:22 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Nice plot handling in tutorials

Browse source
This commit is contained in:
Nicolas 2013-06-05 18:06:03 +01:00
parent dc26ea0dad
commit fc57f470c2
2 changed files with 19 additions and 18 deletions
Download patch file Download diff file Expand all files Collapse all files

21
GPy/examples/tutorials.py
View file

@ -115,24 +115,25 @@ def tuto_kernel_overview():
# Create GP regression model # Create GP regression model
m = GPy.models.GPRegression(X, Y, Kanova) m = GPy.models.GPRegression(X, Y, Kanova)
pb.figure(figsize=(5,5)) fig = pb.figure(figsize=(5,5))
m.plot() ax = fig.add_subplot(111)
m.plot(ax=ax)
pb.figure(figsize=(20,3)) pb.figure(figsize=(20,3))
pb.subplots_adjust(wspace=0.5) pb.subplots_adjust(wspace=0.5)
pb.subplot(1,5,1) axs = pb.subplot(1,5,1)
m.plot() m.plot(ax=axs)
pb.subplot(1,5,2) pb.subplot(1,5,2)
pb.ylabel("= ",rotation='horizontal',fontsize='30') pb.ylabel("= ",rotation='horizontal',fontsize='30')
pb.subplot(1,5,3) axs = pb.subplot(1,5,3)
m.plot(which_parts=[False,True,False,False]) m.plot(ax=axs, which_parts=[False,True,False,False])
pb.ylabel("cst +",rotation='horizontal',fontsize='30') pb.ylabel("cst +",rotation='horizontal',fontsize='30')
pb.subplot(1,5,4) axs = pb.subplot(1,5,4)
m.plot(which_parts=[False,False,True,False]) m.plot(ax=axs, which_parts=[False,False,True,False])
pb.ylabel("+ ",rotation='horizontal',fontsize='30') pb.ylabel("+ ",rotation='horizontal',fontsize='30')
pb.subplot(1,5,5) axs = pb.subplot(1,5,5)
pb.ylabel("+ ",rotation='horizontal',fontsize='30') pb.ylabel("+ ",rotation='horizontal',fontsize='30')
m.plot(which_parts=[False,False,False,True]) m.plot(ax=axs, which_parts=[False,False,False,True])
return(m) return(m)

16
doc/tuto_kernel_overview.rst
View file

@ -230,19 +230,19 @@ The submodels can be represented with the option ``which_function`` of ``plot``:
pb.figure(figsize=(20,3)) pb.figure(figsize=(20,3))
pb.subplots_adjust(wspace=0.5) pb.subplots_adjust(wspace=0.5)
pb.subplot(1,5,1) axs = pb.subplot(1,5,1)
m.plot() m.plot(ax=axs)
pb.subplot(1,5,2) pb.subplot(1,5,2)
pb.ylabel("= ",rotation='horizontal',fontsize='30') pb.ylabel("= ",rotation='horizontal',fontsize='30')
pb.subplot(1,5,3) axs = pb.subplot(1,5,3)
m.plot(which_parts=[False,True,False,False]) m.plot(ax=axs, which_parts=[False,True,False,False])
pb.ylabel("cst +",rotation='horizontal',fontsize='30') pb.ylabel("cst +",rotation='horizontal',fontsize='30')
pb.subplot(1,5,4) axs = pb.subplot(1,5,4)
m.plot(which_parts=[False,False,True,False]) m.plot(ax=axs, which_parts=[False,False,True,False])
pb.ylabel("+ ",rotation='horizontal',fontsize='30') pb.ylabel("+ ",rotation='horizontal',fontsize='30')
pb.subplot(1,5,5) axs = pb.subplot(1,5,5)
pb.ylabel("+ ",rotation='horizontal',fontsize='30') pb.ylabel("+ ",rotation='horizontal',fontsize='30')
m.plot(which_parts=[False,False,False,True]) m.plot(ax=axs, which_parts=[False,False,False,True])
.. pb.savefig('tuto_kern_overview_mANOVAdec.png',bbox_inches='tight') .. pb.savefig('tuto_kern_overview_mANOVAdec.png',bbox_inches='tight')