def preprocessor_landmarkisomap_modular(data):
from shogun.Features import RealFeatures
from shogun.Preprocessor import LandmarkIsomap
features = RealFeatures(data)
preprocessor = LandmarkIsomap()
preprocessor.set_target_dim(1)
preprocessor.apply_to_feature_matrix(features)
return features
from shogun.Preprocessor import ClassicMDS
mds = ClassicMDS()
preprocs.append((mds, "Classic MDS"))
from shogun.Preprocessor import LandmarkMDS
lmds = LandmarkMDS()
lmds.set_landmark_number(20)
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())))
