Revision 48270681afc13081094f7f398a1e194c6b07ba9b authored by vdutor on 03 January 2018, 17:44:53 UTC, committed by Mark van der Wilk on 03 January 2018, 17:44:53 UTC
* 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
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| File | Mode | Size |
|---|---|---|
| data | ||
| FITCvsVFE.ipynb | -rw-r--r-- | 45.0 KB |
| FITCvsVFE.py | -rw-r--r-- | 7.1 KB |
| GPLVM.ipynb | -rw-r--r-- | 41.6 KB |
| SGPR_notes.ipynb | -rw-r--r-- | 11.1 KB |
| Sanity_check.ipynb | -rw-r--r-- | 146.9 KB |
| classification.ipynb | -rw-r--r-- | 90.2 KB |
| compare_variational.py | -rw-r--r-- | 1.3 KB |
| coreg_demo.ipynb | -rw-r--r-- | 146.4 KB |
| kernels.ipynb | -rw-r--r-- | 128.8 KB |
| mcmc.ipynb | -rw-r--r-- | 61.3 KB |
| models.ipynb | -rw-r--r-- | 82.3 KB |
| multiclass.ipynb | -rw-r--r-- | 415.5 KB |
| ordinal.ipynb | -rw-r--r-- | 97.7 KB |
| regression.ipynb | -rw-r--r-- | 734.3 KB |
| regression.py | -rw-r--r-- | 3.5 KB |
| settings.ipynb | -rw-r--r-- | 7.8 KB |
| simple_regression.py | -rw-r--r-- | 1.5 KB |
| svi_test.ipynb | -rw-r--r-- | 230.8 KB |
| upper_bound.ipynb | -rw-r--r-- | 107.0 KB |
| vgp_notes.ipynb | -rw-r--r-- | 8.3 KB |
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