Hi, First off, thanks for a great package!
A while ago I needed a package for building general-purpose ensembles combining any set of Scikit-learn transformers and estimators. I couldn't find any so I set out to develop such an extension and recently released the result as ML-Ensemble, http://mlens.readthedocs.io/en/latest/. I am contacting you to ask if you way consider adding this library to your reference list of related packages? It would be hugely appreciated to have a small mention on your site as an ensemble wrapper around Scikit-learn. A bit about ML-Ensemble: It is written in Python following with a Scikit-learn API; it uses joblib with memmapping to achieve scalable parallelization and any ensemble estimator can pass as a Scikit-learn estimator. The library is unit tested on Linux, Mac and Windows for Python 2.7, 3.5 and 3.6, and has been downloaded about four thousand times a month after launch. All the best, Sebastian Flennerhag
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