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fixed plotting bug

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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
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1
GPy/plotting/matplot_dep/inference_plots.py
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@ -2,6 +2,7 @@
# Licensed under the BSD 3-clause license (see LICENSE.txt) # Licensed under the BSD 3-clause license (see LICENSE.txt)
import pylab as pb import pylab as pb
import sys
#import numpy as np #import numpy as np
#import Tango #import Tango
#from base_plots import gpplot, x_frame1D, x_frame2D #from base_plots import gpplot, x_frame1D, x_frame2D

18
GPy/plotting/matplot_dep/models_plots.py
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@ -94,14 +94,7 @@ 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], 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. #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) #add error bars for uncertain (if input uncertainty is being modelled)
if hasattr(model,"has_uncertain_inputs"): if hasattr(model,"has_uncertain_inputs"):
ax.errorbar(model.X[which_data, free_dims], model.likelihood.data[which_data, 0], ax.errorbar(model.X[which_data, free_dims], model.likelihood.data[which_data, 0],
@ -115,6 +108,15 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
ax.set_xlim(xmin, xmax) ax.set_xlim(xmin, xmax)
ax.set_ylim(ymin, ymax) 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 #2D plotting
elif len(free_dims) == 2: elif len(free_dims) == 2: