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Functions31 in github.com/alimirzaei/TSFS

↓ 7 callersMethodtrain_fs_network
(self,X , rep=None,l1=.01, name='fs_nn.hd5',loss='mse', batch_size=32, epochs = 10)
RRFS.py:41
↓ 1 callersFunctionevaluate_classification
(selected_features, y)
utils.py:61
↓ 1 callersFunctiongetCodes
(X)
mnist_model.py:6
↓ 1 callersFunctiongetSyntheticDataset
(N = 10000,type = 'linear', indep = 5, dep = 4)
utils.py:25
↓ 1 callersFunctionmain
()
test_all.py:15
↓ 1 callersFunctionsigmoid
(x)
utils.py:22
FunctionGAFS
(X, y=None, dataset=None, **kwargs)
methods.py:165
FunctionMCFS
(X, y=None, **kwargs)
methods.py:114
Method__init__
(self, dim,l1=.01, hidden=10, loss='mse')
RRFS.py:15
Functionaefs
(X, y=None, **kwargs)
methods.py:106
Methodbias_init
(self,shape, dtype=None)
RRFS.py:30
Functionevaluate_clustering
(selected_features,y)
utils.py:49
Functionevaluate_reconstruction
(X, selected_features)
utils.py:67
Methodkernel_init
(self,shape, dtype=None)
RRFS.py:27
Functionlaplacian_score
(X, y=None, **kwargs)
methods.py:87
Methodlayer1_reg
(self, weight_matrix)
RRFS.py:64
Functionload_data
(dir ='/home/ali/Datasets/Channel', SNR = 22)
utils.py:12
Functionloss_mse
(y, y_true)
RRFS.py:10
Functionmy_autoencoder
(X, y=None, l1 = .1, n_components=2, **kwargs)
methods.py:134
Functionmy_isomap
(X, y=None, l1 = .1, n_components=2, **kwargs)
methods.py:26
Functionmy_lle
(X, y=None,l1 = .1, n_components=2, **kwargs)
methods.py:50
Functionmy_mds
(X, y=None,l1 = .1, n_components=2, **kwargs)
methods.py:62
Functionmy_se
(X, y=None,l1 = .1, n_components=2, **kwargs)
methods.py:75
Functionmy_supervised_mnist
(X, y=None, l1=.1, **kwargs)
methods.py:16
Functionmy_tsne
(X, y=None,l1 = .1, n_components=2, **kwargs)
methods.py:38
Functionsup_CIFE
()
methods.py:161
Functionsup_fisher
()
methods.py:158
Functionsup_ttest
()
methods.py:154
Functionsupervised_mrmr
(X, y=None, **kwargs)
methods.py:12
Methodtrain_representation_network
(self, X, name = 'representation_nn.hd5',batch_size=32, epochs = 10)
RRFS.py:33
Functionudfs_score
(X, y, gamma=.1, **kwargs)
methods.py:100