Nicole Carlson - Turning PyMC3 into scikit learn
PyData New York City 2017
Slides: https://github.com/parsing-science/pydata_nyc_nov_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.
Видео Nicole Carlson - Turning PyMC3 into scikit learn канала PyData
Slides: https://github.com/parsing-science/pydata_nyc_nov_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.
Видео Nicole Carlson - Turning PyMC3 into scikit learn канала PyData
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