mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-05-15 06:52:39 +02:00
31183299cf
* 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
85 lines
2.7 KiB
YAML
85 lines
2.7 KiB
YAML
environment:
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pip_access:
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secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
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COVERALLS_REPO_TOKEN:
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secure: d3Luic/ESkGaWnZrvWZTKrzO+xaVwJWaRCEP0F+K/9DQGPSRZsJ/Du5g3s4XF+tS
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gpy_version: 1.8.5
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matrix:
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- PYTHON_VERSION: 2.7
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MINICONDA: C:\Miniconda-x64
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- PYTHON_VERSION: 3.5
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MINICONDA: C:\Miniconda35-x64
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- PYTHON_VERSION: 3.6
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MINICONDA: C:\Miniconda36-x64
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#configuration:
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# - Debug
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# - Release
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install:
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- "set PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
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- conda config --set always_yes yes --set changeps1 no
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- conda update -q conda
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- conda info -a
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- "conda create -q -n build-environment python=%PYTHON_VERSION% numpy scipy matplotlib"
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- activate build-environment
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# We need wheel installed to build wheels
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- python -m pip install wheel
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# GPy needs paramz
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- python -m pip install paramz
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- python -m pip install nose-show-skipped
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- python -m pip install coverage
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- python -m pip install coveralls
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- python -m pip install codecov
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- python -m pip install twine
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- "python setup.py develop"
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build: off
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test_script:
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# Put your test command here.
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# If you don't need to build C extensions on 64-bit Python 3.3 or 3.4,
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# you can remove "build.cmd" from the front of the command, as it's
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# only needed to support those cases.
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# Note that you must use the environment variable %PYTHON% to refer to
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# the interpreter you're using - Appveyor does not do anything special
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# to put the Python evrsion you want to use on PATH.
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#- "build.cmd %PYTHON%\\python.exe setup.py test"
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- "coverage run travis_tests.py"
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after_test:
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# This step builds your wheels.
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- "python setup.py bdist_wheel bdist_wininst"
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- codecov
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artifacts:
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# bdist_wheel puts your built wheel in the dist directory
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- path: dist\*
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deploy_script:
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- echo [distutils] > %USERPROFILE%\\.pypirc
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- echo index-servers = >> %USERPROFILE%\\.pypirc
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- echo pypi >> %USERPROFILE%\\.pypirc
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- echo test >> %USERPROFILE%\\.pypirc
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- echo[
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- echo [pypi] >> %USERPROFILE%\\.pypirc
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- echo username = maxz >> %USERPROFILE%\\.pypirc
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- echo password = %pip_access% >> %USERPROFILE%\\.pypirc
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- echo[
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- echo [test] >> %USERPROFILE%\\.pypirc
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- echo repository = https://testpypi.python.org/pypi >> %USERPROFILE%\\.pypirc
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- echo username = maxz >> %USERPROFILE%\\.pypirc
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- echo password = %pip_access% >> %USERPROFILE%\\.pypirc
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- .appveyor_twine_upload.bat
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# deploy:
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# - provider: GitHub
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# release: GPy-v$(gpy_version)
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# description: 'GPy windows install'
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# artifact: dist/*.exe # upload wininst to GitHub
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# draft: false
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# prerelease: false
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# on:
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# branch: deploy # release from deploy branch only
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# appveyor_repo_tag: true # deploy on tag push only
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