danielstaps
0a2da9ae50
Added Vis for GMLVQ with more then 2 dims using PCA ( #11 )
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* Added Vis for GMLVQ with more then 2 dims using PCA
* Added initialization possibility to GMlVQ with PCA and one example with omega init + PCA vis of 3 dims
* test(githooks): Add githooks for automatic commit checks
Co-authored-by: staps@hs-mittweida.de <staps@hs-mittweida.de>
Co-authored-by: Alexander Engelsberger <alexanderengelsberger@gmail.com>
2021-06-18 13:28:11 +02:00
Alexander Engelsberger
8956ee75ad
test(githooks): Add githooks for automatic commit checks
2021-06-16 16:16:34 +02:00
Jensun Ravichandran
d558fa6a4a
[REFACTOR] Clean up GLVQ-types
2021-06-07 17:00:38 +02:00
Jensun Ravichandran
016fcb4060
[REFACTOR] Major cleanup
2021-06-04 22:20:32 +02:00
Jensun Ravichandran
42d974e08c
No implicit learning rate scheduling
2021-06-04 15:55:06 +02:00
Alexander Engelsberger
47db1965ee
[BUGFIX] GNG Example
2021-06-03 15:42:54 +02:00
Alexander Engelsberger
358f27257d
[REFACTOR] Remove prototype_initializer function from GLVQ
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Fixes #9
2021-06-03 15:15:22 +02:00
Alexander Engelsberger
e209bf73d5
[BUGFIX] Pruning example works on GPU now
2021-06-03 14:35:24 +02:00
Jensun Ravichandran
8f7deb75dd
[FEATURE] Log prototype win ratios over all training batches
2021-06-02 02:32:54 +02:00
Jensun Ravichandran
757f4e980d
Add Local-Matrix LVQ
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Also remove the use of `self.distance_fn` in favor of `self.distance_layer`.
2021-06-01 23:44:16 +02:00
Jensun Ravichandran
27eccf44d4
Use LambdaLayer from ProtoTorch
2021-05-31 16:53:04 +02:00
Alexander Engelsberger
2a218c0ede
Add example for dynamic components in callbacks
2021-05-31 11:39:24 +02:00
Alexander Engelsberger
db064b5af1
Improvement of model __repr__
2021-05-31 11:19:06 +02:00
Alexander Engelsberger
0ac4ced85d
[refactor] Use functional variant of accuracy
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Prevents Accuracy in `__repr__` of the models.
2021-05-31 11:12:27 +02:00
Jensun Ravichandran
cd73f6c427
Add examples/dynamic_components.py
2021-05-31 00:32:27 +02:00
Jensun Ravichandran
b7edee02c3
[WIP] Add CELVQ
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TODO Ensure that the distances/probs corresponding to the plabels are sorted
like the target labels.
2021-05-27 17:40:16 +02:00
Jensun Ravichandran
d411e52be4
Refactor non-gradient-lvq models into lvq.py
2021-05-25 20:37:34 +02:00
Jensun Ravichandran
139109804f
[BUGFIX] Use _forward in LVQ1 and LVQ21
2021-05-25 17:43:37 +02:00
Alexander Engelsberger
8ce18f83ce
Add prototype_initializer function to GLVQ
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This allows overwriting it inside subclasses.
2021-05-21 17:13:10 +02:00
Alexander Engelsberger
7b4f7d84e0
Update Documentation
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Clean up project
2021-05-21 15:42:45 +02:00
Jensun Ravichandran
a5e086ce0d
Refactor code
2021-05-21 13:33:57 +02:00
Jensun Ravichandran
88a34a06ef
[WIP] Update CBC implementation to use SiameseGLVQ
2021-05-20 17:36:00 +02:00
Jensun Ravichandran
df061cc2ff
Refactor code
2021-05-20 14:40:02 +02:00
Alexander Engelsberger
969fb34cc3
Accumulate test loss
2021-05-20 14:20:23 +02:00
Alexander Engelsberger
0204f5eab6
Log test accuracy.
2021-05-20 14:03:31 +02:00
Alexander Engelsberger
b7fc5df386
Log test loss.
2021-05-20 13:47:20 +02:00
Alexander Engelsberger
faf1a88f99
[Bugfix] Remove optimzer_idx from validation and test.
2021-05-20 13:17:27 +02:00
Jensun Ravichandran
5ffbd43a7c
Refactor into shared_step
2021-05-19 16:57:51 +02:00
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
81346785bd
Cleanup models
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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
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
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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
Jensun Ravichandran
eab1ec72c2
Change optimizer using kwargs
2021-05-11 16:13:00 +02:00
Alexander Engelsberger
3fa6378c4d
Add LVQ1 and LVQ2.1 Models.
2021-05-11 13:26:13 +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
d7972a69e8
Update GMLVQ model
2021-05-07 15:24:47 +02:00
Alexander Engelsberger
4bbe73e3a9
Add GRLVQ with examples.
2021-05-06 18:42:06 +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.
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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
6dd9b1492c
Add more models
2021-04-29 23:37:22 +02:00
