def preprocessor_locallylinearembedding_modular(data,k): from shogun.Features import RealFeatures from shogun.Preprocessor import LocallyLinearEmbedding features = RealFeatures(data) preprocessor = LocallyLinearEmbedding() preprocessor.set_target_dim(1) preprocessor.set_k(k) preprocessor.apply_to_feature_matrix(features) return features
import numpy tt = numpy.genfromtxt('../../../../../data/toy/swissroll_color.dat',unpack=True).T X = numpy.genfromtxt('../../../../../data/toy/swissroll.dat',unpack=True).T N = X.shape[1] preprocs = [] from shogun.Preprocessor import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(9) preprocs.append((lle, "Locally Linear Embedding with k=%d" % lle.get_k())) from shogun.Preprocessor import ClassicMDS mds = ClassicMDS() preprocs.append((mds, "Classic MDS")) from shogun.Preprocessor import LandmarkMDS lmds = LandmarkMDS() lmds.set_landmark_number(50) preprocs.append((lmds,"Landmark MDS with %d landmarks" % lmds.get_landmark_number())) from shogun.Preprocessor import ClassicIsomap, KISOMAP cisomap = ClassicIsomap() cisomap.set_type(KISOMAP) cisomap.set_k(9) preprocs.append((cisomap,"Classic K-Isomap with k=%d" % cisomap.get_k())) from shogun.Preprocessor import LandmarkIsomap lisomap = LandmarkIsomap() lisomap.set_landmark_number(50) lisomap.set_type(KISOMAP) lisomap.set_k(9)
import numpy tt = numpy.genfromtxt('../../../../../data/toy/swissroll_color.dat', unpack=True).T X = numpy.genfromtxt('../../../../../data/toy/swissroll.dat', unpack=True).T N = X.shape[1] preprocs = [] from shogun.Preprocessor import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(9) preprocs.append((lle, "LLE with k=%d" % lle.get_k())) 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" %
import numpy tt = numpy.genfromtxt('../../../../../data/toy/hemisphere_color.dat',unpack=True).T X = numpy.genfromtxt('../../../../../data/toy/hemisphere.dat',unpack=True).T N = X.shape[1] preprocs = [] from shogun.Preprocessor import LocallyLinearEmbedding lle = LocallyLinearEmbedding() lle.set_k(20) preprocs.append((lle, "Locally Linear Embedding with k=%d" % lle.get_k())) from shogun.Preprocessor import ClassicMDS mds = ClassicMDS() preprocs.append((mds, "Classic MDS")) from shogun.Preprocessor import LandmarkMDS lmds = LandmarkMDS() lmds.set_landmark_number(50) preprocs.append((lmds,"Landmark MDS with %d landmarks" % lmds.get_landmark_number())) from shogun.Preprocessor import ClassicIsomap, KISOMAP cisomap = ClassicIsomap() cisomap.set_type(KISOMAP) cisomap.set_k(9) preprocs.append((cisomap,"Classic K-Isomap with k=%d" % cisomap.get_k())) from shogun.Preprocessor import LandmarkIsomap lisomap = LandmarkIsomap() lisomap.set_landmark_number(50) lisomap.set_type(KISOMAP) lisomap.set_k(9)