Merge pull request #470 from SheffieldML/plotting_fix

Plotting fix

CHANGELOG.md

@@ -1,5 +1,34 @@
 # Changelog
 
+## v1.5.7 (2017-01-09)
+
+### Fix
+
+* Removed additional dict line. [mzwiessele]
+
+* Plotting also allows 3D (capitals) [mzwiessele]
+
+* Fallback for when no environment variables are set (#467) [Safrone]
+
+  * fix: dev: add or in home directory getting
+
+  adds another or when getting the home directory with os.getenv() so that if neither $HOME nor $USERPROFILE environment variable is set, os.path.join() will not fail by getting a None and the config will revert to the default configuration file.
+
+  * fix: remove extra statement
+
+### Other
+
+* Bump version: 1.5.6 → 1.5.7. [mzwiessele]
+
+* Changed the order of the operations, ensuring that the covariance matrix is symmetric despite numerical precision issues. Suggested by Alan. [Teo de Campos]
+
+* Delete gmm_bayesian_gplvm.py. [beiwang]
+
+* Gmm_creation. [beiwang]
+
+* Gmm_creation. [beiwang]
+
+
 ## v1.5.6 (2016-11-07)
 
 ### New

GPy/__version__.py

@@ -1 +1 @@
-__version__ = "1.5.6"
+__version__ = "1.5.7"

GPy/plotting/gpy_plot/gp_plots.py

@@ -88,12 +88,12 @@ def _plot_mean(self, canvas, helper_data, helper_prediction,
             update_not_existing_kwargs(kwargs, pl().defaults.meanplot_1d)  # @UndefinedVariable
             plots = dict(gpmean=[pl().plot(canvas, Xgrid[:, free_dims], mu, label=label, **kwargs)])
         else:
-            if projection == '2d':
+            if projection.lower() in '2d':
                 update_not_existing_kwargs(kwargs, pl().defaults.meanplot_2d)  # @UndefinedVariable
                 plots = dict(gpmean=[pl().contour(canvas, x[:,0], y[0,:],
                                                mu.reshape(resolution, resolution).T,
                                                levels=levels, label=label, **kwargs)])
-            elif projection == '3d':
+            elif projection.lower() in '3d':
                 update_not_existing_kwargs(kwargs, pl().defaults.meanplot_3d)  # @UndefinedVariable
                 plots = dict(gpmean=[pl().surface(canvas, x, y,
                                                mu.reshape(resolution, resolution),

appveyor.yml

@@ -3,7 +3,7 @@ environment:
     secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
   COVERALLS_REPO_TOKEN:
     secure: d3Luic/ESkGaWnZrvWZTKrzO+xaVwJWaRCEP0F+K/9DQGPSRZsJ/Du5g3s4XF+tS
-  gpy_version: 1.5.6
+  gpy_version: 1.5.7
   matrix:
     - PYTHON_VERSION: 2.7
       MINICONDA: C:\Miniconda-x64

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.5.6
+current_version = 1.5.7
 tag = True
 commit = True