SklearnBalltreeDist#
- class datafold.pcfold.distance.SklearnBalltreeDist(cut_off, metric='euclidean', kmin=None, **backend_options)[source]#
Bases:
DistanceAlgorithm
Distance matrix using ball tree implementation from scikit-learn.
- Parameters:
cut_off – Distance values (always Euclidean metric) that are larger are not stored in distance matrix.
metric (
str
) – see metric parameter in `sklearn.NearestNeighborkmin (
Optional
[int
]) – store at leastkmin
samples per sample**backend_options – key word arguments passed to sklearn.NearestNeighbors
See also
Attributes Summary
Methods Summary
__call__
(X[, Y])Compute distance matrix.
Attributes Documentation
Methods Documentation