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View Code? Open in Web Editor NEWTensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
After training to a certain epoch, the program is stuck without any output.
Forexample,when I train for dataset 'Beef', it will stuck at epoch 175,moreover,the RI doesn't change from the beginning.
update F matrix in k-means loss, epoch: 160.
RI: train: 0.6091954022988506 test:0.5724137931034483
loss: 0.9954168200492859, l_recons: 0.22520238161087036, l_cls: 0.6259787678718567, l_kmeans: 0.14423568546772003, epoch: 161
loss: 1.044954776763916, l_recons: 0.27587103843688965, l_cls: 0.6256064176559448, l_kmeans: 0.14347732067108154, epoch: 162
loss: 0.998985767364502, l_recons: 0.23104754090309143, l_cls: 0.6252334713935852, l_kmeans: 0.14270472526550293, epoch: 163
loss: 0.9973672032356262, l_recons: 0.23056352138519287, l_cls: 0.6248743534088135, l_kmeans: 0.14192931354045868, epoch: 164
loss: 0.9958614110946655, l_recons: 0.23019659519195557, l_cls: 0.6244871616363525, l_kmeans: 0.14117762446403503, epoch: 165
RI: train: 0.6091954022988506 test:0.5724137931034483
loss: 0.9945715665817261, l_recons: 0.2300342172384262, l_cls: 0.6240988373756409, l_kmeans: 0.14043846726417542, epoch: 166
loss: 0.993462860584259, l_recons: 0.23004977405071259, l_cls: 0.6237154006958008, l_kmeans: 0.13969765603542328, epoch: 167
loss: 0.9924675822257996, l_recons: 0.23015378415584564, l_cls: 0.6233416795730591, l_kmeans: 0.13897211849689484, epoch: 168
loss: 0.9914587736129761, l_recons: 0.23025156557559967, l_cls: 0.6229473948478699, l_kmeans: 0.13825981318950653, epoch: 169
loss: 0.9903848171234131, l_recons: 0.23028254508972168, l_cls: 0.6225518584251404, l_kmeans: 0.1375504434108734, epoch: 170
update F matrix in k-means loss, epoch: 170.
RI: train: 0.6091954022988506 test:0.5724137931034483
loss: 0.9892362356185913, l_recons: 0.23023679852485657, l_cls: 0.6221611499786377, l_kmeans: 0.13683833181858063, epoch: 171
loss: 0.9880603551864624, l_recons: 0.23014621436595917, l_cls: 0.6217778921127319, l_kmeans: 0.1361362338066101, epoch: 172
loss: 0.9868771433830261, l_recons: 0.230058491230011, l_cls: 0.6213670372962952, l_kmeans: 0.13545162975788116, epoch: 173
loss: 0.9857420325279236, l_recons: 0.23001040518283844, l_cls: 0.6209614872932434, l_kmeans: 0.13477016985416412, epoch: 174
loss: 0.9846595525741577, l_recons: 0.23001253604888916, l_cls: 0.6205600500106812, l_kmeans: 0.1340869665145874, epoch: 175
RI: train: 0.6091954022988506 test:0.5724137931034483
RI doesnt change as loss decrease.
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