Re: [scikit-learn] joblib deprecation warning

Thank you, On 29/05/2016, 16:58, "scikit-learn on behalf of Alexandre Abadie" wrote: >Hi, > >Thanks for reporting. >This is a known issue from joblib already reported in [1] and fixed by [2]. > >Alex > >[1] https://github.com/joblib/joblib/issues/308 >[2] https://github.com/joblib/joblib/p

Re: [scikit-learn] joblib deprecation warning

Hi, Thanks for reporting. This is a known issue from joblib already reported in [1] and fixed by [2]. Alex [1] https://github.com/joblib/joblib/issues/308 [2] https://github.com/joblib/joblib/pull/309 - Mail original - > I'm getting the following warning with anaconda > > > anaconda2/

[scikit-learn] random forest regression with multiple output variables

When using random forest regressor, the default scoring function is mse. In the case of multiple output, is the mse the sum over all output variables? If so, are the output variables scaled, to make the mse comparable across different variables? Thank you, _

[scikit-learn] joblib deprecation warning

I'm getting the following warning with anaconda anaconda2/lib/python2.7/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by descriptor assignment is deprecated. To maintain the Fortran contiguity of a multidimensional Fortr