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
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) preprocs.append((lisomap,"L-K-Isomap with k=%d, %d landmarks" % (lisomap.get_k(),lisomap.get_landmark_number()))) import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() swiss_roll_fig = fig.add_subplot(len(preprocs)/2+1,len(preprocs)/2,1,projection='3d') swiss_roll_fig.scatter(X[0], X[1], X[2], s=10, c=tt, cmap=plt.cm.Spectral) plt.subplots_adjust(hspace=0.4) from shogun.Features import RealFeatures
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()))) from shogun.Preprocessor import LaplacianEigenmaps
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())))