Search results for #PyMC3Models
Day 5 (of 5) @recursecenter: Merged a #Gaussian Naive Bayes PR into #PyMC3Models! Added in basic #LogisticRegression! Ended the day with a cool panel on tech workers unionizing!
Acknowledgments: The @pymc_learn project adopted & extended the Base template in #PyMC3Models by @parsing_science (github.com/parsing-scienc…) to develop probabilistic versions of the estimators in @scikit_learn. Thanks also to the #PyMC3 & @scikit_learn open-source communities.
Acknowledgments: The @pymc_learn project adopted & extended the Base template in #PyMC3Models by @parsing_science (github.com/parsing-scienc…) to develop probabilistic versions of the estimators in @scikit_learn. Thanks also to the #PyMC3 & @scikit_learn open-source communities.
Toronto, here I come! Just got a last minute acceptance to #pyconca2018 for my talk: "Lessons learned open sourcing (and maintaining) my first library" (2018.pycon.ca/talks/talk-PC-…). @pyconca #PyMC3models
I'm giving an encore of my "Turning #PyMC3 into @scikit_learn" talk on June 13: meetup.com/Chicago-PyLadi…. Will be updated to include my library #PyMC3Models. @PyLadiesChicago @thisismetis
A New Year's gift to #Bayesians everywhere: #PyMC3Models goo.gl/a4cahr. Custom #PyMC3 models built on top of @scikit_learn. Pip installable at a command line near you!