skhubness.neighbors.HNSW

class skhubness.neighbors.HNSW(n_candidates: int = 5, metric: str = 'euclidean', method: str = 'hnsw', post_processing: int = 2, n_jobs: int = 1, verbose: int = 0)

__init__(self, n_candidates: 'int' = 5, metric: 'str' = 'euclidean', method: 'str' = 'hnsw', post_processing: 'int' = 2, n_jobs: 'int' = 1, verbose: 'int' = 0)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(self, n_candidates, metric, method, …)	Initialize self.
fit(self, X[, y])	Setup the HNSW index.
kneighbors(self, X, n_candidates, …)

Attributes

valid_metrics

fit(self, X, y=None) → 'HNSW'

Setup the HNSW index.