Pomegranate: Fast and Flexible Probabilistic Modeling in Python

C93e0512fbfca1b61a9913bfceeac7ec?s=47 Data Intelligence
June 28, 2017
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Pomegranate: Fast and Flexible Probabilistic Modeling in Python

Jacob Schreiber, Paul G. Allen School of Computer Science, University of Washington
Audience level: Intermediate
Topic area: Modeling
We will describe the python package pomegranate, which implements flexible probabilistic modeling. We will highlight several supported models including mixtures, hidden Markov models, and Bayesian networks. At each step we will show how the supported flexibility allows for complex models to be easily constructed. We will also demonstrate the parallel and out-of-core APIs.

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Data Intelligence

June 28, 2017
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