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<p><span style="font-family: Helvetica; font-size: 12px;">Hi, </span><br style="font-family: Helvetica; font-size: 12px;">
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<span style="font-family: Helvetica; font-size: 12px;">First off, thanks for a great package!</span><span style="font-family: Helvetica; font-size: 12px;"> </span><br style="font-family: Helvetica; font-size: 12px;">
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<font face="Helvetica"><span style="font-size: 12px;">A while ago I needed a package </span></font><font face="Helvetica"><span style="font-size: 12px;">for building general-purpose ensembles combining any set of Scikit-learn transformers and estimators.</span></font><span style="font-family: Helvetica; font-size: 12px;"> </span><br style="font-family: Helvetica; font-size: 12px;">
<span style="font-family: Helvetica; font-size: 12px;">I couldn't find any so I set out to develop such an extension and recently released the result as ML-Ensemble,</span><span style="font-family: Helvetica; font-size: 12px;"> </span><a href="http://mlens.readthedocs.io/en/latest/" style="font-family: Helvetica; font-size: 12px;" id="LPlnk70885" previewremoved="true">http://mlens.readthedocs.io/en/latest/</a><span style="font-family: Helvetica; font-size: 12px;">.</span><span style="font-family: Helvetica; font-size: 12px;"> </span><br style="font-family: Helvetica; font-size: 12px;">
<br style="font-family: Helvetica; font-size: 12px;">
<span style="font-family: Helvetica; font-size: 12px;">I am contacting you to ask if you way consider adding this library to your reference list of related packages?</span><span style="font-family: Helvetica; font-size: 12px;"> </span><br style="font-family: Helvetica; font-size: 12px;">
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<span style="font-family: Helvetica; font-size: 12px;">It would be hugely appreciated to have a small mention on your site as an ensemble wrapper around Scikit-learn.</span><br style="font-family: Helvetica; font-size: 12px;">
<br style="font-family: Helvetica; font-size: 12px;">
<span style="font-family: Helvetica; font-size: 12px;">A bit about ML-Ensemble:</span><br style="font-family: Helvetica; font-size: 12px;">
<span style="font-family: Helvetica; font-size: 12px;">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. </span><span style="font-family: Helvetica; font-size: 12px;">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.</span><br style="font-family: Helvetica; font-size: 12px;">
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<span style="font-family: Helvetica; font-size: 12px;">All the best,</span><span style="font-family: Helvetica; font-size: 12px;"> </span><br style="font-family: Helvetica; font-size: 12px;">
<br style="font-family: Helvetica; font-size: 12px;">
<span style="font-family: Helvetica; font-size: 12px;">Sebastian Flennerhag</span><br>
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