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Getting started notebook is outdated #31

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ricardoV94 opened this issue Jan 29, 2021 · 6 comments
Closed

Getting started notebook is outdated #31

ricardoV94 opened this issue Jan 29, 2021 · 6 comments
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help wanted Extra attention is needed high impact Notebooks with most visits on docs.pymc.io tracker id Issues used as trackers in the notebook update project, do not close!

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@ricardoV94
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ricardoV94 commented Jan 29, 2021

For example here are the Installation instructions:

Installation

Running PyMC3 requires a working Python interpreter, either version 2.7 (or more recent) or 3.5 (or more recent); we recommend that new users install version 3.5. A complete Python installation for Mac OSX, Linux and Windows can most easily be obtained by downloading and installing the free Anaconda Python Distribution by ContinuumIO.

https://github.com/pymc-devs/pymc-examples/blob/main/examples/getting_started.ipynb

@OriolAbril OriolAbril added the help wanted Extra attention is needed label Feb 4, 2021
@OriolAbril
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Let's keep in mind that this is without any doubt the most visited notebook in the docs, so even the tiniest changes can have a huge impact on the project overall.

It may also be worth to redeploy the docs right after this is updated, even if it's the only change since the last deployment.

@ricardoV94
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ricardoV94 commented Feb 4, 2021

Some specifics that jump to mind:

  1. Probably it's better to just remove the find_MAP demonstration at this point? Maybe introduce prior and posterior predictive sampling instead?
  2. This is severely outdated:

PyMC3, Stan (Stan Development Team, 2014), and the LaplacesDemon package for R are currently the only PP packages to offer HMC.

  1. Variational inference is mentioned as a missing feature (and no reference to SMC either)

@OriolAbril OriolAbril added the tracker id Issues used as trackers in the notebook update project, do not close! label Mar 25, 2021
@OriolAbril OriolAbril added the high impact Notebooks with most visits on docs.pymc.io label Apr 6, 2021
@Aut0R3V
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Aut0R3V commented Apr 21, 2021

Some specifics that jump to mind:

  1. Probably it's better to just remove the find_MAP demonstration at this point? Maybe introduce prior and posterior predictive sampling instead?
  2. This is severely outdated:

PyMC3, Stan (Stan Development Team, 2014), and the LaplacesDemon package for R are currently the only PP packages to offer HMC.

  1. Variational inference is mentioned as a missing feature (and no reference to SMC either)

@ricardoV94 I'm interested in working for this. To begin with, the find_MAP demonstration has been removed through this pull request - #145

For the second point, what changes can be made?
Can you please explain the third point?
Thanks!

@symeneses
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Is this issue still needed? The notebook mentioned is not in the main branch anymore.

@twiecki
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twiecki commented May 31, 2022

Weird, it indeed seems to have gone. Couldn't find where it went either.

@OriolAbril
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This is now the pymc overview notebook: https://docs.pymc.io/en/latest/learn/core_notebooks/pymc_overview.html. It has alrrady been ported to v4 and as part of the versioned docs it is executed automatically every time we build the docs. We forgot to close this issue though, doing it now

twiecki pushed a commit that referenced this issue Jan 17, 2023
* set up readthedocs

* fix typo and broken link

* remove sphinx _templates folder
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help wanted Extra attention is needed high impact Notebooks with most visits on docs.pymc.io tracker id Issues used as trackers in the notebook update project, do not close!
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