[scikit-learn] Pipegraph feedback

Hi all! As you know by now :-) we submitted PipeGraph as a contrib-project proposal. We believe that this tool can be interesting not only for end users wanting to encapsulate their arbitrarily complex workflows but also for sklearn developers as some internal developments could be easily expresse

[scikit-learn] Delegating "get_params" and "set_params" to a wrapped estimator when parameter is not defined.

I have a class `FancyEstimator(BaseEstimator, MetaEstimatorMixin): ...` that wraps around an arbitrary sklearn estimator to add some functionality I am interested about. This class contains an attribute `self.estimator` that contains the wrapped estimator. Delegation of the main methods, such as `f

Re: [scikit-learn] Delegating "get_params" and "set_params" to a wrapped estimator when parameter is not defined.

Please stay on the mailing list :) I'm not sure if ValueError is the right error that would be raised (I think it's not). And it's hard to say if this will break something in some edge cases. I would probably rather explicitly encode the parameters of FancyEstimator instead of the try, or get

[scikit-learn] K Medoids Clustering Implementation

Is someone working on an implementation of K-Medoids clustering at the moment? If not, I would like to implement it in sklearn. Thanks, Zane Dufour ___ scikit-learn mailing list scikit-learn@python.org https://ma