Pymc-learn: Practical Probabilistic Machine Learning in Python

textitPymc-learn is a Python package providing a variety of state-of-the-art probabilistic models for supervised and unsupervised machine learning. It is inspired by textitscikit-learn and focuses on bringing probabilistic machine learning to non-specialists. It uses a general-purpose high-level language that mimics textitscikit-learn. Emphasis is put on ease of use, productivity, flexibility, performance, documentation, and an API consistent with textitscikit-learn. It depends on textitscikit-learn and textitpymc3 and is distributed under the new BSD-3 license, encouraging its use in both academia and industry. Source code, binaries, and documentation are available on http://github.com/pymc-learn/pymc-learn.