SheffieldML / GPy

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v1.10.0 (#908)

* 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... (continued)

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