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
Exemplo n.º 2
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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
Exemplo n.º 3
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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
Exemplo n.º 4
0
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())))