Hi all, I'd like to announce *sklearn-xarray*, a new package that provides a scikit-learn interface for xarray users. For those not familiar with xarray (http://xarray.pydata.org), it is a "pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays".
The package makes it possible to apply sklearn estimators to xarray DataArrays and Datasets while keeping the labels (called coordinates in xarray) intact whereever possible. You can install the package via pip: pip install sklearn-xarray To get started, you can: - read the documentation: https://phausamann.github.io/sklearn-xarray and - check out the repository: https://github.com/phausamann/sklearn-xarray Note that the package is still in a very early development stage and there will probably be some major API changes in upcoming releases. Most notably, I'd like to replicate the complete sklearn module structure at some point by decorating all available estimators with the necessary wrappers. Feedback of any kind is appreciated. Peter
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