v0.5.0 #191
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v0.5.0 #191
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Sometimes this means relying on the fallback-to-CPU behaviour of the latter class, which is okay.
…ix (GaussianProcessGPU)
Feature/dr dim choice
* added code needed for versioning to devel branch * forgot to modify setup.py file * corrected line accidentally deleted from __init__.py * added prerelease number to devel branch to track commits on devel * corrected comments in conf.py to reflect full release numbering
- Distinguish unimplemented functionality from GPU/library unavailability - Handle these situations when running tests more carefully (allowing that the test environment may not have GPUs available, but warn) - Split large `test_GaussianProcess_predict` test - Forward unspecified args/kwargs to super().predict on fallback
The main consequence of this is that `GaussianProcessGPU._set_params` must call `update_theta` in all cases. Some tests fail at the moment, that involve taking derivatives, or pickling.
…cessGPU (and document this)
… to parse formula and create python-wrapped C++ object
…-kernel Feature/gpu matern kernel
Feature/gpu meanfunc
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New release including GPU support and several other fixes and improvements.
Changes in this release:
GaussianProcessGPUclass.MultiOutputGPclass, though fitting and predictions are done serially on the GPU.MultiOutputGPfitting to allow GPs that fail to do so quietly and enables inspection of individual emulators based on those that failed.