sklearn.manifold.SpectralEmbedding 파라미터

SpectralEmbedding

class sklearn.manifold.SpectralEmbedding(n_components=2, *, affinity='nearest_neighbors', gamma=None, random_state=None, eigen_solver=None, n_neighbors=None, n_jobs=None)

 

SpectralEmbedding 파라미터

n_componentsint, 기본값=2

affinity{‘nearest_neighbors’, ‘rbf’, ‘precomputed’, ‘precomputed_nearest_neighbors’} or callable, 기본값=’nearest_neighbors’

gammafloat, 기본값=None

random_stateint, RandomState instance or None, 기본값=None

eigen_solver{‘arpack’, ‘lobpcg’, ‘amg’}, 기본값=None

n_neighborsint, 기본값=None

n_jobsint, 기본값=None