lmds.set_landmark_number(20)
converters.append(
(lmds, "Landmark MDS with %d landmarks" % lmds.get_landmark_number()))
from shogun.Converter import Isomap
cisomap = Isomap()
cisomap.set_k(9)
converters.append((cisomap, "Isomap with k=%d" % cisomap.get_k()))
from shogun.Converter import DiffusionMaps
from shogun.Kernel import GaussianKernel
dm = DiffusionMaps()
dm.set_t(2)
dm.set_width(1000.0)
converters.append(
(dm, "Diffusion Maps with t=%d, sigma=%f" % (dm.get_t(), dm.get_width())))
from shogun.Converter import HessianLocallyLinearEmbedding
hlle = HessianLocallyLinearEmbedding()
hlle.set_k(6)
converters.append((hlle, "Hessian LLE with k=%d" % (hlle.get_k())))
from shogun.Converter import LocalTangentSpaceAlignment
ltsa = LocalTangentSpaceAlignment()
ltsa.set_k(6)
converters.append((ltsa, "LTSA with k=%d" % (ltsa.get_k())))
from shogun.Converter import LaplacianEigenmaps
le = LaplacianEigenmaps()
le.set_k(20)
le.set_tau(100.0)
lmds = MultidimensionalScaling() lmds.set_landmark(True) lmds.set_landmark_number(20) converters.append((lmds,"Landmark MDS with %d landmarks" % lmds.get_landmark_number())) from shogun.Converter import Isomap cisomap = Isomap() cisomap.set_k(9) converters.append((cisomap,"Isomap with k=%d" % cisomap.get_k())) from shogun.Converter import DiffusionMaps from shogun.Kernel import GaussianKernel dm = DiffusionMaps() dm.set_t(2) dm.set_width(1000.0) converters.append((dm,"Diffusion Maps with t=%d, sigma=%.1f" % (dm.get_t(),dm.get_width()))) from shogun.Converter import HessianLocallyLinearEmbedding hlle = HessianLocallyLinearEmbedding() hlle.set_k(6) converters.append((hlle,"Hessian LLE with k=%d" % (hlle.get_k()))) from shogun.Converter import LocalTangentSpaceAlignment ltsa = LocalTangentSpaceAlignment() ltsa.set_k(6) converters.append((ltsa,"LTSA with k=%d" % (ltsa.get_k()))) from shogun.Converter import LaplacianEigenmaps le = LaplacianEigenmaps() le.set_k(20) le.set_tau(100.0)
