Deploy version 1.8.5

* added extended version of MLP function with multiple hidden layers and different activation functions

* Update mapping_tests.py

Make output of gradient check verbose to diagnose error

* Update mapping_tests.py

Remove verbosity again after gradient checks passed without problem with verbosity

* the implementation of SVI-MOGP

* Try to fix the issue with model_tests

* updated mapping test to pass gradient checks

* Fix random seed for reproducible results in tests

* Add mean function functionality to dtc inference method

* Fix DSYR function (See https://github.com/scipy/scipy/issues/8155)

* Updated sde_kern to work with scipy=1.0.0

* Trying to fix tests for Matplotlib plotting issue

* Testing Again #575

* Figured it must be a matplotlib import error #575

New import matplotlib must be missing a package

* Removed ImageComparisonFailure #575

ImageComparisonFailure no longer exists which causes issues with travis testing using the most recent matplotlib

* Fix EP for non-zero mean GP priors

* improve the documentation for LVMOGP

* remove non-ascii characters

* Small correction to doc

* add type into docstring

* update changelog for 1.8.5

* bump the version: 1.8.4 -> 1.8.5

appveyor.yml

@@ -3,7 +3,7 @@ environment:
     secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
   COVERALLS_REPO_TOKEN:
     secure: d3Luic/ESkGaWnZrvWZTKrzO+xaVwJWaRCEP0F+K/9DQGPSRZsJ/Du5g3s4XF+tS
-  gpy_version: 1.8.4
+  gpy_version: 1.8.5
   matrix:
     - PYTHON_VERSION: 2.7
       MINICONDA: C:\Miniconda-x64
@@ -15,7 +15,7 @@ environment:
 #configuration:
 #  - Debug
 #  - Release
-  
+
 install:
  - "set PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
  - conda config --set always_yes yes --set changeps1 no
@@ -33,7 +33,7 @@ install:
  - python -m pip install codecov
  - python -m pip install twine
  - "python setup.py develop"
- 
+
 build: off
 
 test_script:
@@ -51,7 +51,7 @@ after_test:
   # This step builds your wheels.
   - "python setup.py bdist_wheel bdist_wininst"
   - codecov
-  
+
 artifacts:
   # bdist_wheel puts your built wheel in the dist directory
   - path: dist\*
@@ -72,7 +72,7 @@ deploy_script:
 - echo username = maxz >> %USERPROFILE%\\.pypirc
 - echo password = %pip_access% >> %USERPROFILE%\\.pypirc
 - .appveyor_twine_upload.bat
- 
+
 # deploy:
 #   - provider: GitHub
 #     release: GPy-v$(gpy_version)