Re: [scikit-learn] Announcing sklearn-xarray

PS: obviously forcing conversion to numpy is not what we would want, rather passing the underlying array of the DataArray. Peter Hausamann schrieb am Mo., 4. Dez. 2017 um 17:25 Uhr: > Thanks everyone for your feedback. > > The reason you're getting the error is because

Re: [scikit-learn] Announcing sklearn-xarray

Thanks everyone for your feedback. The reason you're getting the error is because the first argument of DataArray.mean() is the named dimension 'dim' and not 'axis'. So calling X.mean(axis=0) would probably solve the problem... but it might be easier (and more robust) to fix this on my end by

Re: [scikit-learn] Announcing sklearn-xarray

I haven't looked at the implementation of `sklearn_xarray.dataarray.wrap` yet, but a simple test on `dask_ml.preprocessing.StandardScaler` failed with the (probably expected) `TypeError: 'int' object is not iterable` when dask-ml attempts an `X.mean(0)`. I'd be interested to hear what changes

Re: [scikit-learn] Announcing sklearn-xarray

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