Re: [scikit-learn] Get parameters of classes in a Pipeline within cross_validate

Hi Chris, Cool! I will try it very soon!! Thank you Roberto On 2 April 2018 at 01:47, Chris Aridas wrote: > Hi Roberto, > > One option it could be to make a wrapper and serialize your pipeline in > your wrapper's fit method. > After the serialization you could load the pipeline anytime and ins

Re: [scikit-learn] NearestNeighbors without replacement

Matching to minimize a cost is known as the linear assignment problem, can be solved in n^3 cost, and is implemented in scikit-learn in sklearn.utils.linear_assignment_.linear_assignment or in recent versions of scipy as scipy.optimize.linear_sum_assignment Of course, this problem will require muc

Re: [scikit-learn] NearestNeighbors without replacement

Thanks Dr. Varoquax, it’s awesome you’re on this list, I’m a fan of your work! Will look into this strategy. Best, Randy On Tue, Apr 3, 2018 at 8:57 AM Gael Varoquaux wrote: > Matching to minimize a cost is known as the linear assignment problem, > can be solved in n^3 cost, and is implemente

Re: [scikit-learn] NearestNeighbors without replacement

Hi Dr. Varoquaux, It seems like the SciPy function only assigns one row to one column. I need to assign 20 controls to each case. Does the linear_sum_assignment function, since it assigns unique pairs, depend on the order of the rows and columns? If so, perhaps I could shuffle and then combine the