converters.append((mds, "Classic MDS")) 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())))