apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-04-28 06:16:24 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

fixed plotting bug

Browse source
This commit is contained in:
James Hensman 2014-02-12 15:27:47 +00:00
parent c0eddf29e7
commit e4fcde3299
2 changed files with 11 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

1
GPy/plotting/matplot_dep/inference_plots.py
View file

@ -2,6 +2,7 @@
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import pylab as pb
import sys
#import numpy as np
#import Tango
#from base_plots import gpplot, x_frame1D, x_frame2D

16
GPy/plotting/matplot_dep/models_plots.py
View file

@ -94,13 +94,6 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
ax.plot(Xnew, yi[:,None], Tango.colorsHex['darkBlue'], linewidth=0.25)
#ax.plot(Xnew, yi[:,None], marker='x', linestyle='--',color=Tango.colorsHex['darkBlue']) #TODO apply this line for discrete outputs.
#add inducing inputs (if a sparse model is used)
if hasattr(model,"Z"):
#Zu = model.Z[:,free_dims] * model._Xscale[:,free_dims] + model._Xoffset[:,free_dims]
Zu = param_to_array(model.Z[:,free_dims])
z_height = ax.get_ylim()[0]
ax.plot(Zu, np.zeros_like(Zu) + z_height, 'r|', mew=1.5, markersize=12)
#add error bars for uncertain (if input uncertainty is being modelled)
if hasattr(model,"has_uncertain_inputs"):
@ -115,6 +108,15 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
ax.set_xlim(xmin, xmax)
ax.set_ylim(ymin, ymax)
#add inducing inputs (if a sparse model is used)
if hasattr(model,"Z"):
#Zu = model.Z[:,free_dims] * model._Xscale[:,free_dims] + model._Xoffset[:,free_dims]
Zu = param_to_array(model.Z[:,free_dims])
z_height = ax.get_ylim()[0]
ax.plot(Zu, np.zeros_like(Zu) + z_height, 'r|', mew=1.5, markersize=12)
#2D plotting
elif len(free_dims) == 2: