Questions about GPy. GPy is a Gaussian Process (GP) framework written in Python. It includes support for basic GP regression, multiple output GPs (using coregionalization), various noise models, sparse GPs, non-parametric regression and latent variables. Use with the [python] tag
Questions tagged [gpy]
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GP Regression Model Predicting very similar numbers for all test inputs
I'm using doc2vec embeddings of amino acid sequences to try and predict kinetic rate.
I've tried both standardising and not standardising my input vectors (X) but unless I standardise my output variable (kinetic rates), my GP model predicts very…
Hayley Smith
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GPy RBF Kernel Implementation
In rbf.py k(r) is defined mathematically as:
k(r) = \sigma^2 \exp \\bigg(- \\frac{1}{2} r^2 \\bigg)
However K_of_r method in rbf.py skips the sigma^2 and instead uses sigma (self.variance). Am I missing something here or is it a bug in…
mani bhushan
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