* Outline of new expectations code.

* Quadrature code now uses TensorFlow shape inference.

* General expectations work.

* Expectations RBF kern, not tested

* Add Identity mean function

* General unittests for Expectations

* Add multipledispatch package to travis

* Update tests_expectations

* Expectations of mean functions

* Mean function uncertain conditional

* Uncertain conditional with mean_function. Tested.

* Support for Add and Prod kernels and quadrature fallback decorator

* Refactor expectations unittests

* Psi stats Linear kernel

* Split expectations in different files

* Expectation Linear kernel and Linear mean function

* Remove None's from expectations api

* Removed old ekernels framework

* Add multipledispatch to setup file

* Work on PR feedback, not finished

* Addressed PR feedback

* Support for pairwise xKxz

* Enable expectations unittests

* Renamed `TimeseriesGaussian` to `MarkovGaussian` and added tests.

* Rename some variable, plus note for later test of <x Kxz>_q.

* Update conditionals.py

Add comment

* Change order of inputs to (feat, kern)

* Stef/expectations (#601)

* adding gaussmarkov quad

* don't override the markvogaussian in the quadrature

* can't test

* adding external test

* quadrature code done and works for MarkovGauss

* MarkovGaussian with quad implemented. All tests pass

* Shape comments.

* Removed superfluous autoflow functions for kernel expectations

* Update kernels.py

* Update quadrature.py