Commit Graph

27 Commits

Author SHA1 Message Date
Alexander Engelsberger
7b93cd4ad5
feat(compatibility): Python3.6 compatibility 2021-08-30 20:32:40 +02:00
Alexander Engelsberger
d7834e2cc0
fix: All examples should work on CPU and GPU now 2021-08-05 11:20:02 +02:00
Alexander Engelsberger
0af8cf36f8
fix: labels where on cpu in forward pass 2021-08-05 09:14:32 +02:00
Jensun Ravichandran
f8ad1d83eb
refactor: clean up abstract classes 2021-07-14 19:17:05 +02:00
Jensun Ravichandran
09e3ef1d0e
fix: remove deprecated Trainer.accelerator_backend 2021-06-30 16:03:45 +02:00
Jensun Ravichandran
a37095409b [BUGFIX] examples/cbc_iris.py works again 2021-06-15 15:59:47 +02:00
Jensun Ravichandran
1c658cdc1b [FEATURE] Add warm-starting example 2021-06-14 20:42:57 +02:00
Jensun Ravichandran
97ec15b76a [BUGFIX] KNN works again 2021-06-14 20:09:41 +02:00
Jensun Ravichandran
69e5ff3243 Import from the newly cleaned-up prototorch namespace 2021-06-14 20:08:08 +02:00
Jensun Ravichandran
57f8bec270 Update SOM 2021-06-09 18:21:12 +02:00
Jensun Ravichandran
022d791ea5 Route initialized prototypes 2021-06-07 21:18:08 +02:00
Jensun Ravichandran
34ffeb95bc Update how the model is printed 2021-06-07 16:58:00 +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
Jensun Ravichandran
5ec2dd47cd Remove unused import 2021-06-01 23:40:56 +02:00
Jensun Ravichandran
21023a88d7 [BUGFIX] Fix RSLVQ 2021-06-01 17:44:10 +02:00
Jensun Ravichandran
cd73f6c427 Add examples/dynamic_components.py 2021-05-31 00:32:27 +02:00
Alexander Engelsberger
72e064338c Use 'num_' in all variable names 2021-05-25 15:41:10 +02:00
Jensun Ravichandran
a5e086ce0d Refactor code 2021-05-21 13:33:57 +02:00
Jensun Ravichandran
a9382dcd9b Add get_prototype_grid method 2021-05-21 13:11:48 +02:00
Jensun Ravichandran
fdf9443a2c Add validation and test logic 2021-05-19 16:30:19 +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
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
Jensun Ravichandran
eab1ec72c2 Change optimizer using kwargs 2021-05-11 16:13:00 +02:00
Jensun Ravichandran
11b3e53ecb Return prototypes as torch tensor 2021-05-07 15:45:37 +02:00
Jensun Ravichandran
96aeaa3448 Add support for multiple optimizers 2021-05-03 13:20:49 +02:00
Jensun Ravichandran
ccaa52c408 Add missing abstract.py file 2021-04-29 19:14:33 +02:00