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Train a shared GPLVM

Great notebook examples. I am very new to this field and I have a question.

I am trying to train a shared GPLVM in python between two different domains.
Similar to this is Matlab example: https://github.com/SheffieldML/SGPLVM

My training data is 3D shape from one domain (Y) and I have a few corresponding shape examples for 3D data from another domain (Z). I have extracted various kinds of features (similar to landmarks/joints) from the data and performed PCA for dimensionality reduction.

I want to learn the shared latent space (X) between (Y) and (Z) [LEARNING STEP] and then be able to go from new Y input to generate Z output [MAPPING STEP].

I am unable to find relevant GPy examples for training a shared latent space model. Can you please help me with this/guide me in the right direction? Is there a relevant GPy example I can follow?

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