nutpie

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This PR does two things: 1. I added a minimial docstring to `make_transform_adapt` to give a basic outline of each parameter (as I understand them), and try to explain situations...

jessegrabowski

Add log-likelhood calculation to sampling

4

This allows nutpie to populate the `log_likelihood` group in ArviZ InferenceData objects when `compute_log_likelihood=True` is passed to `compile_pymc_model()`. Closes #150

fonnesbeck

Hi there, I was wondering if there are specific suggestions/recommendations on how to parallelize Nutpie sampling (with PyMC) on an HPC node that uses Slurm. I noticed PyMC forum has...

bersavosh

store_unconstrained doesn't appear to do anything

3

My understanding is that if you set it false, all the `_log__` suffixed parameters shouldn't be returned in the trace. However, they linger: ```py import pymc as pm import nutpie...

daniel-s-tccc

aseyboldt

What is the process to set up a development environment for this project? Maybe a CONTRIBUTING.md file would be useful.

williambdean

Stan: Represent complex values in traces as complex value instead of as array

3

aseyboldt

When running a Stan model, I tried using `init_mean` parameter in `sample` function. However, it's working as expected. An example illustrating my issue: ```python3 import nutpie import numpy as np...

ksolarski