N = X.shape[1] converters = [] from shogun.Converter import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(9) converters.append((lle, "LLE with k=%d" % lle.get_k())) from shogun.Converter import MultidimensionalScaling mds = MultidimensionalScaling() 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(20) kernel = GaussianKernel(100,1.0) dm.set_kernel(kernel) converters.append((dm,"Diffusion Maps with t=%d, sigma=%f" % (dm.get_t(),kernel.get_width()))) from shogun.Converter import HessianLocallyLinearEmbedding
converters = [] from shogun.Converter import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(9) converters.append((lle, "LLE with k=%d" % lle.get_k())) from shogun.Converter import MultidimensionalScaling mds = MultidimensionalScaling() 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=%f" % (dm.get_t(), dm.get_width()))) from shogun.Converter import HessianLocallyLinearEmbedding
N = X.shape[1] converters = [] from shogun.Converter import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(9) converters.append((lle, "LLE with k=%d" % lle.get_k())) from shogun.Converter import MultidimensionalScaling mds = MultidimensionalScaling() 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(1) kernel = GaussianKernel(100,10.0) dm.set_kernel(kernel) converters.append((dm,"Diffusion Maps with t=%d, sigma=%f" % (dm.get_t(),kernel.get_width()))) from shogun.Converter import HessianLocallyLinearEmbedding