sklearn.manifold.locally_linear_embedding 파라미터

locally_linear_embedding

sklearn.manifold.locally_linear_embedding(X, *, n_neighbors, n_components, reg=0.001, eigen_solver='auto', tol=1e-06, max_iter=100, method='standard', hessian_tol=0.0001, modified_tol=1e-12, random_state=None, n_jobs=None)

 

locally_linear_embedding 파라미터

X{array-like, NearestNeighbors}

n_neighborsint

n_componentsint

regfloat, default=1e-3

eigen_solver{‘auto’, ‘arpack’, ‘dense’}, default=’auto’

tolfloat, default=1e-6

max_iterint, default=100

method{‘standard’, ‘hessian’, ‘modified’, ‘ltsa’}, default=’standard’standarduse the standard locally linear embedding algorithm.

hessian_tolfloat, default=1e-4

modified_tolfloat, default=1e-12

random_stateint, RandomState instance, default=None

n_jobsint or None, default=None