Interesting project! BTW, do you know about dask-ml [1]?
It might be interesting to think about generalizing the input validation of fit and predict / transform as a private method of the BaseEstimator class instead of directly calling into sklearn.utils.validation functions so has to make it easier for third party projects such as sklearn-xarray and dask-ml to subclass and override those methods to allow for specific input data-structure without converting everyting to a numpy array. [1] https://github.com/dask/dask-ml 2017-12-04 15:21 GMT+01:00 Peter Hausamann <peter.hausam...@tum.de>: > 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 > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel
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