* Update self.num_data in GP when X is updated
* Update appveyor.yml
* Update setup.cfg
* Stop using legacy bdist_wininst
* fix: reorder brackets to avoid an n^2 array
* Minor fix to multioutput regression example, to clarify code + typo.
* added missing import
* corrected typo in function name
* fixed docstring and added more explanation
* changed ordering of explanation to get to the point fast and provide additional details after
* self.num_data and self.input_dim are set dynamically in class GP() after the shape of X. In MRD, the user-specific values are passed around until X is defined.
* fixed technical description of gradients_X()
* brushed up wording
* fix normalizer
* fix ImportError in likelihood.py
in function log_predictive_density_sampling
* Update setup.py
bump min require version of scipy to 1.3.0
* Add cython into installation requirement
* Coregionalized regression bugfix (#824)
* route default arg W_rank correctly (Addresses #823)
* Drop Python 2.7 support (fix#833)
* travis, appveyor: Add Python 3.8 build
* README: Fix scipy version number
* setup.py: Install scipy < 1.5.0 when using Python 3.5
* plotting_tests.py: Use os.makedirs instead of matplotlib.cbook.mkdirs (fix#844)
* Use super().__init__ consistently, instead of sometimes calling base class __init__ directly
* README.md: Source formatting, one badge per line
* README.md: Remove broken landscape badge (fix#831)
* README.md: Badges for devel and deploy (fix#830)
* ignore itermediary sphinx restructured text
* ignore vs code project settings file
* add yml config for readthedocs
* correct path
* drop epub and pdf builds (as per main GPy)
* typo
* headings and structure
* update copyright
* restructuring and smartening
* remove dead links
* reorder package docs
* rst "markup"
* change rst syntax
* makes sense for core to go first
* add placeholder
* initial core docs, class diagram
* lower level detail
* higher res diagrams
* layout changes for diagrams
resolve conflict
* better syntax
* redunant block
* introduction
* inheritance diagrams
* more on models
* kernel docs to kern.src
* moved doc back from kern.src to kern
* kern not kern.src in index
* better kernel description
* likelihoods
* placeholder
* add plotting to docs index
* summarise plotting
* clarification
* neater contents
* architecture diagram
* using pods
* build with dot
* more on examples
* introduction for utils package
* compromise formatting for sphinx
* correct likelihod definition
* parameterization of priors
* latent function inference intro and format
* maint: Remove tabs (and some trailing spaces)
* dpgplvm.py: Wrap long line + remove tabs
* dpgplvm.py: Fix typo in the header
* maint: Wrap very long lines (> 450 chars)
* maint: Wrap very long lines (> 400 chars)
* Add the link to the api doc on the readme page.
* remove deprecated parameter
* Update README.md
* new: Added to_dict() method to Ornstein-Uhlenbeck (OU) kernel
* fix: minor typos in README !minor
* added python 3.9 build following 4aa2ea9f5e to address https://github.com/SheffieldML/GPy/issues/881
* updated cython-generated c files for python 3.9 via `pyenv virtualenv 3.9.1 gpy391 && pyenv activate gpy391 && python setup.py build --force
* updated osx to macOS 10.15.7, JDK to 14.0.2, and XCode to Xcode 12.2 (#904)
The CI was broken. This commit fixes the CI. The root cause is reported in more detail in issue #905.
In short, the default macOS version (10.13, see the TravisCI docs) used in TravisCI isn't supported by brew which caused the brew install pandoc in the download_miniconda.sh pre-install script to hang and time out the build. It failed even on inert PRs (adding a line to README, e.g.). Now, with the updated macOS version (from 10.13 to 10.15), brew is supported and the brew install pandoc command succeeds and allows the remainder of the CI build and test sequence to succeed.
* incremented version
Co-authored-by: Masha Naslidnyk 🦉 <naslidny@amazon.co.uk>
Co-authored-by: Zhenwen Dai <zhenwendai@users.noreply.github.com>
Co-authored-by: Hugo van Kemenade <hugovk@users.noreply.github.com>
Co-authored-by: Mark McLeod <mark.mcleod@mindfoundry.ai>
Co-authored-by: Sigrid Passano Hellan <sighellan@gmail.com>
Co-authored-by: Antoine Blanchard <antoine@sand-lab-gpu.mit.edu>
Co-authored-by: kae_mihara <rukamihara@outlook.com>
Co-authored-by: lagph <49130858+lagph@users.noreply.github.com>
Co-authored-by: Julien Bect <julien.bect@centralesupelec.fr>
Co-authored-by: Neil Lawrence <ndl21@cam.ac.uk>
Co-authored-by: bobturneruk <bob.turner.uk@gmail.com>
Co-authored-by: bobturneruk <r.d.turner@sheffield.ac.uk>
Co-authored-by: gehbiszumeis <16896724+gehbiszumeis@users.noreply.github.com>
* 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
