Will Dean comments

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                                            Will Dean

Support for None in attrs for `to_netcdf`

Here's the error message: ``` TypeError Traceback (most recent call last) File ~/GitHub/pymc-eco/pymc-marketing/idata.py:22 20 file = "check-serializable.json" 21 idata.attrs = attrs_doesnt_work ---> 22 idata.to_netcdf(file) 23 # except TypeError as e:...

Add `opt_sample` that performs optimizations prior to calling `pymc.sample`

Need to try out. This example in description is different than the docstrings. Both work? > ```python > import pymc as pm > import pymc_experimental as pmx > > with...

Add `opt_sample` that performs optimizations prior to calling `pymc.sample`

I've resolved the conflicts

Add `opt_sample` that performs optimizations prior to calling `pymc.sample`

pre-commit.ci autofix

Consider making channel scaling part of the model definition

Totally. Does this work with scaling the regression target though?

Consider making channel scaling part of the model definition

This doesn't work ... (simple version of the model and how I am interpreting your suggestion) ```python import numpy as np import pymc as pm seed = sum(map(ord, "Scaling the...

Consider making channel scaling part of the model definition

However, doing for the covariated in the model works fine so breaking this into two steps (covariates and target) would be fine.

Consider making channel scaling part of the model definition

Cool. Seems good to work toward then. Are there open PyMC issues for this?

Consider making channel scaling part of the model definition

Cool. I know there are some related issues in pymc-marketing Related to #154 #407 #299 and others that are linked there.

`linspace` and `retstep=True` fails

That should work. Or maybe only astype on one of the return values