You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
sklearn.neighbors._nca.NeighborhoodComponentsAnalysis is an algorithm that uses a technique similar to k nearest neighbors to find a space in which neighborhoods of points sharing the same labels are tighter than points with different labels.
NCA is very powerful if using with K-Nearest Neighbors. So. recently, NCA+KNN pipeline is used in many ml projects.
please, support NeighborhoodComponentsAnalysis model.
The text was updated successfully, but these errors were encountered:
sklearn.neighbors._nca.NeighborhoodComponentsAnalysis is an algorithm that uses a technique similar to k nearest neighbors to find a space in which neighborhoods of points sharing the same labels are tighter than points with different labels.
NCA is very powerful if using with K-Nearest Neighbors. So. recently, NCA+KNN pipeline is used in many ml projects.
please, support NeighborhoodComponentsAnalysis model.
The text was updated successfully, but these errors were encountered: