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Questions tagged [gpflow]

GPflow is a package for building Gaussian process models in Python, using TensorFlow.

GPflow implements modern Gaussian process inference for composable kernels and likelihoods.

GPflow uses TensorFlow for running computations, which allows fast execution on GPUs, and uses Python 3.5 or above.

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The issue of insufficient memory when creating a Gaussian process model due to the excessively large size of the dataset

I was informed that there is not enough memory when creating the following Gaussian process model, and I would like to know if there is a feature in GPflow that allows loading data in batches instead of reading all the data at once. Try this…
Peiyuan Liu
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Regression with variable known uncertainty with GPFlow

I am trying to model some 1D data where each data point has a different error bar. In the GPFlow documentation I find an example of how to do this here (known noise variances demo) However, the demo doesn't seem to produce a GP model that models the…
cyberface
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GPflow, bvh: ValueError: mean must be 1 dimensional

I am having a weird "ValueError: mean must be 1 dimensional" when I am trying to build a Hierarchical GL-LVM model. Basically I'm trying to reproduce this paper: Hierarchical Gaussian Process Latent Variable Models using GPflow. Therefore I…
Michael Stettler
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GPflow AdamOptimizer issue

I want to use GPflow's AdamOptimizer in my python code. As mentioned in the previous post, gpflow is working with a certain version of the TensorFlow. I followed the answer in post, I tried three different combinations inside the virtual…
Ahmet
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Saving and retrieving the parameters of a Gpflow model

I am currently implementing an algorithm with GPflow using GPR. I wanted to save the parameters after the GPR training and load the model for testing. Does anyone knows the command?
Shisthruna
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