Jensun Ravichandran
fdf9443a2c
Add validation and test logic
2021-05-19 16:30:19 +02:00
Jensun Ravichandran
eefec19c9b
Custom non-gradient training
2021-05-18 19:49:16 +02:00
Jensun Ravichandran
4957e821f6
Close matplotlib figure on train end
2021-05-18 10:13:22 +02:00
Jensun Ravichandran
81346785bd
Cleanup models
...
Siamese architectures no longer accept a `backbone_module`. They have to be
initialized with an pre-initialized backbone object instead. This is so that the
visualization callbacks could use the very same object for visualization
purposes. Also, there's no longer a dependent copy of the backbone. It is
managed simply with `requires_grad` instead.
2021-05-17 17:00:23 +02:00
Jensun Ravichandran
7a87636ad7
Update KNN
2021-05-17 16:59:35 +02:00
Jensun Ravichandran
77b7b59bad
Clean visualization callbacks
2021-05-17 16:59:22 +02:00
Jensun Ravichandran
6e7d80be88
[BUGFIX] Fix siamese visualization callback
2021-05-15 12:52:44 +02:00
Jensun Ravichandran
b7684ae512
predict_latent no longer returns numpy
2021-05-15 12:52:16 +02:00
Alexander Engelsberger
0eac2ce326
Examples use GPUs if available.
2021-05-13 15:22:01 +02:00
Jensun Ravichandran
8f9c29bd2b
[BUGFIX] Remove incorrect import statement
2021-05-12 16:45:01 +02:00
Jensun Ravichandran
ca39aa00d5
Stop passing component initializers as hparams
...
Pass the component initializer as an hparam slows down the script very much. The
API has now been changed to pass it as a kwarg to the models instead.
The example scripts have also been updated to reflect the new changes.
Also, ImageGMLVQ and an example script `gmlvq_mnist.py` that uses it have also
been added.
2021-05-12 16:36:22 +02:00
Alexander Engelsberger
1498c4bde5
Bump version: 0.1.6 → 0.1.7
2021-05-11 17:18:29 +02:00
Jensun Ravichandran
59b8ab6643
Add knn
2021-05-11 17:22:02 +02:00
Jensun Ravichandran
eab1ec72c2
Change optimizer using kwargs
2021-05-11 16:13:00 +02:00
Jensun Ravichandran
b38acd58a8
[BUGFIX] Fix visualization callbacks bug
2021-05-11 16:09:27 +02:00
Alexander Engelsberger
e87563e10d
Bump version: 0.1.5 → 0.1.6
2021-05-11 13:41:26 +02:00
Alexander Engelsberger
3fa6378c4d
Add LVQ1 and LVQ2.1 Models.
2021-05-11 13:26:13 +02:00
Alexander Engelsberger
30ee287ecc
Bump version: 0.1.4 → 0.1.5
2021-05-10 17:13:00 +02:00
Alexander Engelsberger
f49db0bf2c
Bump version: 0.1.3 → 0.1.4
2021-05-10 17:06:28 +02:00
Alexander Engelsberger
54a8494d86
Bump version: 0.1.2 → 0.1.3
2021-05-10 17:04:20 +02:00
Alexander Engelsberger
bf310be97c
Bump version: 0.1.1 → 0.1.2
2021-05-10 16:47:33 +02:00
Alexander Engelsberger
1ae2b41edd
Bump version: 0.1.0 → 0.1.1
2021-05-10 16:26:21 +02:00
Alexander Engelsberger
f6e3a37e2b
Bump version: 0.0.0 → 0.1.0
2021-05-10 16:01:46 +02:00
Alexander Engelsberger
6873927349
Setup bumpversion
2021-05-10 15:34:43 +02:00
Jensun Ravichandran
49100f43f5
Example to save and reload a model
2021-05-10 14:30:02 +02:00
Jensun Ravichandran
ed03ab168e
[BUGFIX] Fix lambda_matrix property in GMLVQ
2021-05-10 14:09:25 +02:00
Jensun Ravichandran
c6e06ceaa4
Properly initialize prototypes in LVQMLN
2021-05-09 20:55:28 +02:00
Jensun Ravichandran
ca4c9da10a
Add the namespace hook for GMLVQ in the model class
2021-05-09 20:53:31 +02:00
Jensun Ravichandran
ff7a1e93d2
Refactor visualization callbacks
2021-05-09 20:53:03 +02:00
Jensun Ravichandran
11b3e53ecb
Return prototypes as torch tensor
2021-05-07 15:45:37 +02:00
Jensun Ravichandran
d7972a69e8
Update GMLVQ model
2021-05-07 15:24:47 +02:00
Jensun Ravichandran
17315ff242
Add models to the prototorch.models namespace
2021-05-07 15:23:52 +02:00
Jensun Ravichandran
5f937066bf
Move and improve visualization callbacks
2021-05-07 15:22:54 +02:00
Alexander Engelsberger
4bbe73e3a9
Add GRLVQ with examples.
2021-05-06 18:42:06 +02:00
Alexander Engelsberger
3df282a0af
Increase visualization pause.
2021-05-06 18:41:33 +02:00
Alexander Engelsberger
5a2f4f6170
Revert deletion of training accuracy.
2021-05-06 18:02:01 +02:00
Alexander Engelsberger
1c3613019b
Update Examples to new initializer architecture.
...
Visualization still borken for some examples.
2021-05-06 14:10:09 +02:00
Jensun Ravichandran
d644114090
Add loss transfer function to glvq
2021-05-04 20:56:16 +02:00
Jensun Ravichandran
f402eea884
Add GMLVQ examples
2021-05-04 15:11:16 +02:00
Jensun Ravichandran
a1ac5a70c7
Use squared euclidean distance in GMLVQ
2021-05-04 14:34:00 +02:00
Jensun Ravichandran
d8e017ae74
Update SiameseGLVQ
2021-05-03 16:09:22 +02:00
Jensun Ravichandran
96aeaa3448
Add support for multiple optimizers
2021-05-03 13:20:49 +02:00
Jensun Ravichandran
042b3fcaa2
Add tensorboard argument to visualization callbacks
2021-05-03 13:19:23 +02:00
Jensun Ravichandran
6dd9b1492c
Add more models
2021-04-29 23:37:22 +02:00
Jensun Ravichandran
db7bb7619f
Add border argument in visualization callback
2021-04-29 22:36:10 +02:00
Jensun Ravichandran
ccaa52c408
Add missing abstract.py file
2021-04-29 19:14:33 +02:00
Jensun Ravichandran
fef73e2fbf
[BUG] NaN when training with selection initializer
...
How to reproduce:
Run the `glvq_spiral.py` file under `examples/`.
The error seems to occur when using a lot of prototypes in combination with the
`StratifiedSelectionInitializer`. Using only a prototype per class, or using
another initializer like the `StratifiedMeanInitializer` seems to make the
problem go away.
2021-04-29 19:09:10 +02:00
Jensun Ravichandran
a16bebd0c4
Use Components instead of Prototypes and refactor old examples
2021-04-29 17:05:41 +02:00
Alexander Engelsberger
eeb684b3b6
GLVQ with configurable distance.
2021-04-27 15:41:44 +02:00
Jensun Ravichandran
1fb197077c
Add siamese glvq
2021-04-27 14:35:17 +02:00
