Update notebook Regression Models with Ordered Categorical Outcomes #578
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Hi @mihagazvoda. Changes to the notebook look good. I've just left a comment about a few (unintentional?) changes to unrelated files.
examples/case_studies/nyc_bym.ipynb
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There are minor changes in this file which seem unrelated to the ordinal regression notebook that have snuck in accidentally?
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This was because of pre-commit. It happened the same of others, for example: #575
I think we should keep them otherwise everyone will have to manually remove them.
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There are minor changes in this file which seem unrelated to the ordinal regression notebook that have snuck in accidentally?
examples/howto/model_builder.ipynb
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There are minor changes in this file which seem unrelated to the ordinal regression notebook that have snuck in accidentally?
examples/howto/model_builder.myst.md
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There are minor changes in this file which seem unrelated to the ordinal regression notebook that have snuck in accidentally?
| @@ -20,6 +20,10 @@ kernelspec: | |||
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| ```{code-cell} ipython3 | |||
| import warnings | |||
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| warnings.simplefilter(action="ignore", category=FutureWarning) | |||
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We should aim to fix the warnings instead of ignoring them. Can you share what warnings you got? We might be able to help
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I got:
[/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/stats/stats.py:307](https://file+.vscode-resource.vscode-cdn.net/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/stats/stats.py:307): FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value 'False' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_comp.loc[val] = (
[/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/stats/stats.py:307](https://file+.vscode-resource.vscode-cdn.net/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/stats/stats.py:307): FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value 'log' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_comp.loc[val] = (
[/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/compareplot.py:87](https://file+.vscode-resource.vscode-cdn.net/Users/mihagazvoda/miniconda3/envs/pymc-dev/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/compareplot.py:87): FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
scale = comp_df["scale"][0]
OriolAbril
changed the title
…replace univariate_ordered with ordered, filter future warnings
OriolAbril
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I have rebased on main, and I think the warnings have all been fixed already by the respective libraries. However the notebook still needs to be executed start to end |
Issue 577
As a part of PyData Amsterdam PyMC sprint, I updated the notebook. I improved:
univariate_orderedwithorderedpandas.Note that pre-commit checks also affected a few other files.
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