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gp = pm.gp.HSGP(m=[25, 25], c=4.0, cov_func=cov_func) f = gp.prior("f", X=X, n_outputs=10)
Hi,
First of all big fan of this package and the recent work on HSGP.
I am trying to use the HSGP class as a drop in replacement for pm.gp.Latent however the existing code uses n_outputs.
Would it be possible to implement this argument for HSGP.prior?
The text was updated successfully, but these errors were encountered:
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Hi,
First of all big fan of this package and the recent work on HSGP.
I am trying to use the HSGP class as a drop in replacement for pm.gp.Latent however the existing code uses n_outputs.
Would it be possible to implement this argument for HSGP.prior?
The text was updated successfully, but these errors were encountered: