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Nicole Carlson - Turning PyMC3 into scikit learn
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PyData New York City 2017
PyMC3 is a probabilistic modeling library. Most examples of how to use the library exist inside of Jupyter notebooks. However, making your model reusable and production-ready is a bit opaque. My goal is to show a custom Bayesian Model class that implements the sklearn API. After this talk, you should be able to build your own reusable PyMC3 models. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
PyMC3 is a probabilistic modeling library. Most examples of how to use the library exist inside of Jupyter notebooks. However, making your model reusable and production-ready is a bit opaque. My goal is to show a custom Bayesian Model class that implements the sklearn API. After this talk, you should be able to build your own reusable PyMC3 models. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
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