Standardize and Update Notebook Gallery

[AlexAndorra]

[BEGINNER-FRIENDLY]
Our notebooks gallery is quite big, so:

• Many of them use an old style and could use an updating with ArviZ color style instead (not listed).
• Many notebooks show FutureWarnings that should be addressed (not listed).
• Some notebooks fail to run because they use outdated third-party APIs or exotic packages (listed below).

So this issue is here to signal it would be nice if people want to take some time updating and re-running the notebooks below with PyMC 3.9, according to this style page 🎉
Do it in small batches though, to not get bored and enjoy it 😉 Thanks a lot in advance for your help and don't hesitate to ask your questions below!
PyMCheers 🖖

Here is an up-to-date list of the most outdated and problematic NBs (those not listed here should be checked for style and updating accordingly):

Exotic

• blackbox_external_likelihood needs Cython
• convolutional_vae_keras_advi needs Keras

Other Issues

• GLM theano.gof.fg.MissingInputError
• GLM-poisson-regression KeyError: "['hpd_2.5', 'hpd_97.5'] not in index"
• GLM-negative-binomial-regression KeyError: "['hpd_97.5', 'hpd_2.5'] not in index"
• GLM-model-selection KeyError: 'var names: "['sd_log__'] are not present" in dataset'
• GP-MaunaLoa2 ValueError: Units 'M' and 'Y' are no longer supported
• GP-MaunaLoa ValueError: Units 'M' and 'Y' are no longer supported, as they do not represent unambiguous timedelta values durations.
• GP-TProcess runs but has way too many divergences; timed out after 14_000 seconds
• PyMC3_tips_and_heuristic KeyError: Rhat
• dependent_density_regression AttributeError: 'DataFrame' object has no attribute 'range'
• hierarchical_partial_pooling not enough values to unpack (expected 2, got 1)
• lda-advi-aevb TypeError: init() got an unexpected keyword argument 'n_topics'
• marginalized_gaussian_mixture_model AttributeError: 'Rectangle' object has no property 'normed'
• GLM-logistic AttributeError: 'Rectangle' object has no property 'normed'
• model_averaging FileNotFoundError: File ../data/milk.csv does not exist
• model_comparison AttributeError: 'ELPDData' object has no attribute 'WAIC'
• multilevel_modeling More chains (4000) than draws (2) and some plots may be wrong
• profiling has a shape error
• rugby_analytics ValueError: not enough values to unpack (expected 2, got 1)
• sampling_callback has a shape error (looks like a threading problem)
• survival_analysis cell 11 raises a NotImplementedError in numpy/pandas
• weibull_aft AttributeError: module 'statsmodels' has no attribute 'datasets'
• ODE_with_manual_gradients ValueError: array must not contain infs or NaNs

[Sayam753]

Hi @AlexAndorra
I am willing to update the notebooks dealing with Variational Inference and restyling according to the guide. I have one question though - do we need to re-run the notebooks on the current state of the PyMC3 codebase or running them on the latest released version (3.8)?

[AlexAndorra]

Great, thanks for answering so quickly Sayam! Actually, we're rerunning and restyling all the notebooks prior to releasing 3.9.0 (see pymc-devs/pymc#3955) so it'd be awesome if you could help us out here with the VI notebooks (or any others you like) -- just make sure to tell us which you're working on in the comments 🙏 Le ven. 12 juin 2020 à 19:59, Sayam Kumar <notifications@github.com> a écrit :

…

Hi @AlexAndorra <https://github.com/AlexAndorra> I am willing to update the notebooks dealing with Variational Inference and restyling according to the guide. I have one question though - do we need to re-run the notebooks on the current state of the PyMC3 codebase or running them on the latest released version (3.8)? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <https://github.com/pymc-devs/pymc3/issues/3959#issuecomment-643410894>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHIJMTD56PC76BTY6A33CSDRWJUH3ANCNFSM4N4QU4WA> .

[OriolAbril]

I can work on rugby, radon (multilevel_modeling) and model comparison ones. I like the first two because after rerunning them I will be able to update the ArviZ examples with the new InferenceData objects (see arviz-devs/arviz#1132). Regarding the third one, I am very familiar with loo/waic api and therefore I don't expect to find many issues (nor spend too much time on it).

[AlexAndorra]

Thanks @OriolAbril ! Actually, I think @Sayam753 already updated the rugby NB. Now that pymc-devs/pymc#3955 is merged, he'll probably open a new PR and it should be merged in master pretty soon 😉
For the radon NB, it should be quick: I updated it a couple of months ago and it was reviewed so I think it's a false positive -- the More chains (4000) than draws (2) warning is because of a known ArviZ issue that we didn't have time to look at yet, and I don't expect many plots to be wrong. But it's alway good to have a second pair of eyes!
Finally, I think you're the perfect person for the model_comparison NB 😉

[Sayam753]

I will open a PR regarding rugby notebook and will be happy @OriolAbril reviewing the same.

[OriolAbril]

Great! Please ping me in the PR and I'll review :)

[aloctavodia]

Count on me to fix the model comparison and model averaging notebooks.

[fonnesbeck]

I am working on the GP notebooks.

[AmitKus]

I submitted a PR for weibull_aft. It's my first PR so will greatly appreciate if one of you can review it! @AlexAndorra
Thanks.

[ricardoV94]

Should we transfer this to pymc-examples? It doesn't show as an option if I click transfer issue ->.