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Copy file name to clipboardExpand all lines: CONTRIBUTING.rst
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- Lines should be a maximum of 80 characters long
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- Docstrings should be written as numpy docstrings
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- Your code should be Python 3 compatible
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- When in doubt, follow the style of the existing code
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- When in doubt, follow the style of the existing code
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Transitioning from PyMC3 to PyMC4
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-----------------------------------
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.. raw:: html
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<embed>
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<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">.<ahref="https://twitter.com/pymc_learn?ref_src=twsrc%5Etfw">@pymc_learn</a> has been following closely the development of <ahref="https://twitter.com/hashtag/PyMC4?src=hash&ref_src=twsrc%5Etfw">#PyMC4</a> with the aim of switching its backend from <ahref="https://twitter.com/hashtag/PyMC3?src=hash&ref_src=twsrc%5Etfw">#PyMC3</a> to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: <ahref="https://t.co/Kwjkykqzup">https://t.co/Kwjkykqzup</a> cc <ahref="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">@pymc_devs</a> <ahref="https://t.co/Ze0tyPsIGH">https://t.co/Ze0tyPsIGH</a></p>— pymc-learn (@pymc_learn) <ahref="https://twitter.com/pymc_learn/status/1059474316801249280?ref_src=twsrc%5Etfw">November 5, 2018</a></blockquote> <scriptasyncsrc="https://platform.twitter.com/widgets.js"charset="utf-8"></script>
<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">.<ahref="https://twitter.com/pymc_learn?ref_src=twsrc%5Etfw">@pymc_learn</a> has been following closely the development of <ahref="https://twitter.com/hashtag/PyMC4?src=hash&ref_src=twsrc%5Etfw">#PyMC4</a> with the aim of switching its backend from <ahref="https://twitter.com/hashtag/PyMC3?src=hash&ref_src=twsrc%5Etfw">#PyMC3</a> to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: <ahref="https://t.co/Kwjkykqzup">https://t.co/Kwjkykqzup</a> cc <ahref="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">@pymc_devs</a> <ahref="https://t.co/Ze0tyPsIGH">https://t.co/Ze0tyPsIGH</a></p>— pymc-learn (@pymc_learn) <ahref="https://twitter.com/pymc_learn/status/1059474316801249280?ref_src=twsrc%5Etfw">November 5, 2018</a></blockquote> <scriptasyncsrc="https://platform.twitter.com/widgets.js"charset="utf-8"></script>
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----
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Familiar user interface
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To cite ``pymc-learn`` in publications, please use the following::
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Emaasit, Daniel (2018). Pymc-learn: Practical probabilistic machine
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learning in Python. arXiv preprint arXiv:1810.xxxxx.
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learning in Python. arXiv preprint arXiv:1811.00542.
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Or using BibTex as follows:
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@article{emaasit2018pymc,
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title={Pymc-learn: Practical probabilistic machine learning in {P}ython},
Copy file name to clipboardExpand all lines: docs/develop.rst
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To report an issue with ``pymc-learn`` please use the `issue tracker <https://github.com/pymc-learn/pymc-learn/issues>`__.
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Finally, if you need to get in touch for information about the project, `send us an e-mail <devs@pymc-learn.org>`__.
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Transitioning from PyMC3 to PyMC4
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-----------------------------------
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.. raw:: html
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<embed>
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<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">.<ahref="https://twitter.com/pymc_learn?ref_src=twsrc%5Etfw">@pymc_learn</a> has been following closely the development of <ahref="https://twitter.com/hashtag/PyMC4?src=hash&ref_src=twsrc%5Etfw">#PyMC4</a> with the aim of switching its backend from <ahref="https://twitter.com/hashtag/PyMC3?src=hash&ref_src=twsrc%5Etfw">#PyMC3</a> to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: <ahref="https://t.co/Kwjkykqzup">https://t.co/Kwjkykqzup</a> cc <ahref="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">@pymc_devs</a> <ahref="https://t.co/Ze0tyPsIGH">https://t.co/Ze0tyPsIGH</a></p>— pymc-learn (@pymc_learn) <ahref="https://twitter.com/pymc_learn/status/1059474316801249280?ref_src=twsrc%5Etfw">November 5, 2018</a></blockquote> <scriptasyncsrc="https://platform.twitter.com/widgets.js"charset="utf-8"></script>
This also installs required dependencies including Theano.
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For alternative Theano installations (e.g., gpu), please see the
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instructions on the main `Theano webpage <http://deeplearning.net/software/theano/>`_.
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Transitioning from PyMC3 to PyMC4
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..................................
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.. raw:: html
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<embed>
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<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">.<ahref="https://twitter.com/pymc_learn?ref_src=twsrc%5Etfw">@pymc_learn</a> has been following closely the development of <ahref="https://twitter.com/hashtag/PyMC4?src=hash&ref_src=twsrc%5Etfw">#PyMC4</a> with the aim of switching its backend from <ahref="https://twitter.com/hashtag/PyMC3?src=hash&ref_src=twsrc%5Etfw">#PyMC3</a> to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: <ahref="https://t.co/Kwjkykqzup">https://t.co/Kwjkykqzup</a> cc <ahref="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">@pymc_devs</a> <ahref="https://t.co/Ze0tyPsIGH">https://t.co/Ze0tyPsIGH</a></p>— pymc-learn (@pymc_learn) <ahref="https://twitter.com/pymc_learn/status/1059474316801249280?ref_src=twsrc%5Etfw">November 5, 2018</a></blockquote> <scriptasyncsrc="https://platform.twitter.com/widgets.js"charset="utf-8"></script>
Copy file name to clipboardExpand all lines: docs/why.rst
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The underlying probabilistic models are built using pymc3 (Salvatier et al., 2016).
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Transitioning from PyMC3 to PyMC4
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..................................
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.. raw:: html
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<embed>
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<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">.<ahref="https://twitter.com/pymc_learn?ref_src=twsrc%5Etfw">@pymc_learn</a> has been following closely the development of <ahref="https://twitter.com/hashtag/PyMC4?src=hash&ref_src=twsrc%5Etfw">#PyMC4</a> with the aim of switching its backend from <ahref="https://twitter.com/hashtag/PyMC3?src=hash&ref_src=twsrc%5Etfw">#PyMC3</a> to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: <ahref="https://t.co/Kwjkykqzup">https://t.co/Kwjkykqzup</a> cc <ahref="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">@pymc_devs</a> <ahref="https://t.co/Ze0tyPsIGH">https://t.co/Ze0tyPsIGH</a></p>— pymc-learn (@pymc_learn) <ahref="https://twitter.com/pymc_learn/status/1059474316801249280?ref_src=twsrc%5Etfw">November 5, 2018</a></blockquote> <scriptasyncsrc="https://platform.twitter.com/widgets.js"charset="utf-8"></script>
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Python is the lingua franca of Data Science
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--------------------------------------------
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----
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References
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...........
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------------
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1. Ghahramani, Z. (2015). Probabilistic machine learning and artificial intelligence. Nature, 521(7553), 452.
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