Will Dean
Will Dean
Closed by https://github.com/pymc-labs/pymc-marketing/pull/1292
There are some details here which might be the same or useful: https://github.com/pymc-labs/pymc-marketing/blob/103da207f22383d0e382c659035de9f799b58482/pymc_marketing/mmm/budget_optimizer.py?plain=1#L180-L194
An alternative here is to use some custom logic: ```lua local gh = require "octo.gh" local issue_number = ... gh.issue.edit { issue_number, add_project = "project-name" } ``` And add to...
Closing this as this can be done for fzf and telescope
Hi @NMaidanenko Give this a try ```python import xarray as xr import pandas as pd from pymc_marketing.mmm import MMM def new_data_media_contributions(X: pd.DataFrame, mmm: MMM) -> xr.DataArray: mmm._data_setter(X) with mmm.model: return...
On second thought, I think this can be done with the current implementation ```python mmm: MMM | DelayedSaturatedMMM = ... var_names = ["channel_contributions"] _ = mmm.sample_posterior_predictive(X_pred=..., var_names=var_names, extend_idata=True) mmm.idata.posterior_predictive[var_names] ```...
Any luck with this solution @NMaidanenko ?
Glad it worked!
For instance, examples that use the potential to add a constraint to the parameters of the model. However, this is still a likelihood of the model https://github.com/pymc-devs/pymc/blob/af81955f799e1fba1adcf839454ccc0be851008a/pymc/model/core.py?plain=1#L2344-L2353 In comparison, the...
Maybe under a "Get involved" section Ideally the current file is embedded so that we don't need to manage two