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InferPy: Probabilistic modeling with Tensorflow made easy
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DOI：10.1016/j.knosys.2018.12.030.png)
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Abstract
En 中文
InferPy is a high-level Python API for probabilistic modeling built on top of Edward and Tensorflow. InferPy, which is strongly inspired by Keras, focuses on being user-friendly by using an intuitive set of abstractions that make easy to deal with complex probabilistic models. It should be seen as an interface rather than a standalone machine-learning framework. In general, InferPy has the focus on enabling flexible data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation. (C) 2019 Elsevier B.V. All rights reserved.
Keywords:
Probabilistic programming
Hierarchical probabilistic models
Latent variables
Tensorflow
User-friendly
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