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License: MIT License
Implementation of the Gaussian Process Autoregressive Regression Model
License: MIT License
Hi!
I'm trying to use GPAR for a project, but I'm having some trouble with installation. I'm on macOS 10.15.7, and have tried both the method in the docs, using make, and using pip like in the README. I have gcc and gfortran-5. Error message below (it is the same in both cases) :
ERROR: Command errored out with exit status 1: /Users/magnus/miniconda3/bin/python /Users/magnus/miniconda3/lib/python3.7/site-packages/pip install --ignore-installed --no-user --prefix /private/tmp/pip-build-env-b2vyz6fh/overlay --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=41.0' 'wheel>=0.33' 'numpy>=1.16' 'cython>=0.29' Check the logs for full command output.
Cheers!
I'm fitting a mid-sized time series model: two observations at 8k time points. There are some optimizations already available in GPAR, e.g. this can be fit with ~6k inducing points with some reasonable assumptions.
In the interest of performance, is it possible /advisable to try and enable GPU on the wrapped torch or tensorflow backends? The stheno
, lab
and plum-dispatch
dependencies don't mention GPU support, but the flexibility they provide is tantalizing.
Dear senior,
I am a postgraduate of yunnan university,I recently research the paper about gpar and try to run the code which you write, however I meet some problems,I can't install the gpar ,my computer systerm is windows. If you can help me to cancel this problem,that's very nice for me.
Look forward to your reply.
Dear senior,
I recently research the paper about gpar and try to run the code which you write.
When dim(X)>1. these codes can be applied to implement?
If there are any examples or documentation how to do this, please send me in that direction (I cannot find any right now).
Best,
GHS
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