def preprocessor_hessianlocallylinearembedding_modular(data, k):
from shogun.Features import RealFeatures
from shogun.Preprocessor import HessianLocallyLinearEmbedding
features = RealFeatures(data)
preprocessor = HessianLocallyLinearEmbedding()
preprocessor.set_target_dim(1)
preprocessor.set_k(k)
preprocessor.apply_to_feature_matrix(features)
return features
preprocs.append((lmds, "LMDS with %d landmarks" % lmds.get_landmark_number()))
from shogun.Preprocessor import ClassicIsomap
cisomap = ClassicIsomap()
cisomap.set_k(9)
preprocs.append((cisomap, "K-Isomap with k=%d" % cisomap.get_k()))
from shogun.Preprocessor import LandmarkIsomap
lisomap = LandmarkIsomap()
lisomap.set_landmark_number(500)
lisomap.set_k(9)
preprocs.append((lisomap, "K-LIsomap with k=%d, %d landmarks" %
(lisomap.get_k(), lisomap.get_landmark_number())))
from shogun.Preprocessor import HessianLocallyLinearEmbedding
hlle = HessianLocallyLinearEmbedding()
hlle.set_k(6)
preprocs.append((hlle, "Hessian LLE with k=%d" % (hlle.get_k())))
from shogun.Preprocessor import LocalTangentSpaceAlignment
ltsa = LocalTangentSpaceAlignment()
ltsa.set_k(6)
preprocs.append((ltsa, "LTSA with k=%d" % (ltsa.get_k())))
from shogun.Preprocessor import LaplacianEigenmaps
le = LaplacianEigenmaps()
le.set_k(15)
le.set_tau(25.0)
preprocs.append(
(le, "Laplacian Eigenmaps with k=%d, tau=%d" % (le.get_k(), le.get_tau())))
