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())))