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Update GP-Latent.ipynb to v4
Update GP-Latent.ipynb to V4
This notebook was previously merged (see discussion in #371) but was overwritten. This PR re-adds it.
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OriolAbril commented on 2022-08-09T04:13:12Z ----------------------------------------------------------------
Line #8. f_post = idata.posterior["f"].stack(samples=["chain", "draw"]).T
If you use the current arviz development version you can do
f_post = az.extract(idata, var_names="f").transpose("sample", ...)
I assume plot_pg_dist wants the sample dimension to be the first one.
bwengals commented on 2022-09-28T19:14:32Z ----------------------------------------------------------------
Yup it does. plot_gp_dist
really needs to be updated to work with InferenceData
objects. Really like az.extract
, though I have to brag that I'm pretty fast now at typing idata.posterior.thing.stack(sample=['chain', 'draw'])
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OriolAbril commented on 2022-08-09T04:13:13Z ----------------------------------------------------------------
can you add a watermark title right above the watermark code cell? and the -p aesara,aeppl,xarray
flag. Ref: https://www.pymc.io/projects/docs/en/stable/contributing/jupyter_style.html
bwengals commented on 2022-09-28T19:13:09Z ----------------------------------------------------------------
Ah yup, added
Yup it does. plot_gp_dist
really needs to be updated to work with InferenceData
objects. Really like az.extract
, though I have to brag that I'm pretty fast now at typing idata.posterior.thing.stack(sample=['chain', 'draw'])
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