scikit-learn-extra
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scikit-learn contrib estimators
Good afternoon! I would like to add the algorithm to do the approximate nearest neighbors search. The method is based on [Navigable small world graphs](http://www.scholarpedia.org/article/Small-world_network) (NSW graphs) that tends to...
Hello, I am sorry for the short PR yesterday, but I got interrupted. So my concern is that import scikit-learn-extra in a pytest environment leads to raising warnings. I need...
I tried to reduce the cyclomatic complexity in k medoids. During refactoring I realized that we are testing private methods. Why is that? So, the tests in the private methods...
Issue to keep track of https://github.com/scikit-learn/scikit-learn/pull/2391: > The algorithm as proposed in: > > O. Pujol, P. Radeva, , and J. Vitria`. "Discriminant ECOC: A heuristic method for application dependent...
Issue to keep track of https://github.com/scikit-learn/scikit-learn/pull/1830: > Evidence accumulation clustering: EAC, an ensemble based clustering framework: > Fred, Ana LN, and Anil K. Jain. "Data clustering using evidence > accumulation."...
I am trying to find a section on this repo that tells me how to cite scikit-learn-extra. I couldn't find anything. Could you please help me with this?
New optimization scheme for RobustWeightedRegressor. Use IRLS (iterative reweighted least squares). Faster in low dimension than the SGD counterpart. More extensive experiments would be needed to compare IRLS solver to...
This PR use Huber robust mean estimator to make a robust metric. **Description:** one of the big challenge of robust machine learning is that the usual scoring scheme (cross_validation with...
Create Tutorial Notebook for Min-Max linkage and provide its naive implementation, corresponding to #93 Hello, This is my first time trying to contribute to scikit-learn-extra. It was hard for me...
MC approximation of AdaBoost stump kernel #119