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Author SHA1 Message Date
Alexander Engelsberger
bda88149d4 [BUGFIX] Growing neural gas 2021-06-03 15:13:38 +02:00
Alexander Engelsberger
7379c61966 [BUGFIX] Fix image visualization for some parameter combination 
image visualization was broken if add_embeding was False, but data visualization was on.
 2021-06-03 15:12:51 +02:00
Alexander Engelsberger
e209bf73d5 [BUGFIX] Pruning example works on GPU now 2021-06-03 14:35:24 +02:00
Alexander Engelsberger
1b09b1d57b [BUGFIX] Probabilistic Models work on GPU now 2021-06-03 14:05:44 +02:00
Alexander Engelsberger
459f7c24be [REFACTOR] Probabilistic loss signs changed 2021-06-03 14:00:47 +02:00
Alexander Engelsberger
5918f1cc21 [BUGFIX] CLI example documentation improved 2021-06-03 13:47:20 +02:00
Alexander Engelsberger
3b02d99ebe [BUGFIX] Early stopping example works now 2021-06-03 13:38:16 +02:00
Jensun Ravichandran
64250d0938 [BUG] CLI example crashes 
Running examples/cli/gmlvq.py crashes with:
```
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key)
    249         try:
--> 250             return self[key]
    251         except KeyError as exp:

KeyError: 'distribution'

The above exception was the direct cause of the following exception:

AttributeError                            Traceback (most recent call last)
~/work/repos/prototorch_models/examples/cli/gmlvq.py in <module>
     10
     11
---> 12 cli = LightningCLI(GMLVQMNIST)

~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in __init__(self, model_class, datamodule_class, save_config_callback, trainer_class, trainer_defaults, seed_everything_default, description, env_prefix, env_parse, parser_kwargs, subclass_mode_model, subclass_mode_data)
    168             seed_everything(self.config['seed_everything'])
    169         self.before_instantiate_classes()
--> 170         self.instantiate_classes()
    171         self.prepare_fit_kwargs()
    172         self.before_fit()

~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_classes(self)
    211         self.config_init = self.parser.instantiate_subclasses(self.config)
    212         self.instantiate_datamodule()
--> 213         self.instantiate_model()
    214         self.instantiate_trainer()
    215

~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_model(self)
    228             self.model = self.config_init['model']
    229         else:
--> 230             self.model = self.model_class(**self.config_init.get('model', {}))
    231
    232     def instantiate_trainer(self) -> None:

~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, **kwargs)
    307     def __init__(self, hparams, **kwargs):
    308         distance_fn = kwargs.pop("distance_fn", omega_distance)
--> 309         super().__init__(hparams, distance_fn=distance_fn, **kwargs)
    310         omega = torch.randn(self.hparams.input_dim,
    311                             self.hparams.latent_dim,

~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, **kwargs)
     39         # Layers
     40         self.proto_layer = LabeledComponents(
---> 41             distribution=self.hparams.distribution,
     42             initializer=self.prototype_initializer(**kwargs))
     43

~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key)
    250             return self[key]
    251         except KeyError as exp:
--> 252             raise AttributeError(f'Missing attribute "{key}"') from exp
    253
    254     def __setattr__(self, key, val):

AttributeError: Missing attribute "distribution"
```
 2021-06-02 13:02:40 +02:00
Jensun Ravichandran
86688b26b0 Update setup.py 2021-06-02 13:01:27 +02:00
Jensun Ravichandran
ef6bcc1079 [BUG] Early stopping does not seem to work 
The early stopping callback does not work as expected, and crashes at the end of
max_epochs with:

```
~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/callback_hook.py in on_train_end(self)
    155         """Called when the train ends."""
    156         for callback in self.callbacks:
--> 157             callback.on_train_end(self, self.lightning_module)
    158
    159     def on_pretrain_routine_start(self) -> None:

~/work/repos/prototorch_models/prototorch/models/callbacks.py in on_train_end(self, trainer, pl_module)
     18     def on_train_end(self, trainer, pl_module):
     19         # instead, do it at the end of training loop
---> 20         self._run_early_stopping_check(trainer, pl_module)
     21
     22

TypeError: _run_early_stopping_check() takes 2 positional arguments but 3 were given
```
 2021-06-02 12:44:34 +02:00
Jensun Ravichandran
bdacc83185 [REFACTOR] Update examples/dynamic_pruning.py 2021-06-02 03:53:21 +02:00
Jensun Ravichandran
8851d1bbc9 [FEATURE] Add PruneLoserPrototypes Callback 2021-06-02 03:52:41 +02:00
Jensun Ravichandran
a3f5d7d113 Update docstring 2021-06-02 02:40:29 +02:00
Jensun Ravichandran
b2009bb563 [FEATURE] Add example to showcase dynamic pruning of prototypes 2021-06-02 02:36:37 +02:00
Jensun Ravichandran
398431e7ea Remove examples/dynamic_components.py 2021-06-02 02:35:45 +02:00
Jensun Ravichandran
8f7deb75dd [FEATURE] Log prototype win ratios over all training batches 2021-06-02 02:32:54 +02:00
Jensun Ravichandran
7743c50725 Tweak repr 2021-06-02 01:07:48 +02:00
Jensun Ravichandran
fcf3a4979c Remove unused import 2021-06-02 00:49:36 +02:00
Jensun Ravichandran
d46fe4a393 [WIP] Update CBC example 2021-06-02 00:45:33 +02:00
Jensun Ravichandran
88cfd5762e Remove unused imports in models/cbc.py 2021-06-02 00:44:35 +02:00
Jensun Ravichandran
aa42b9e331 [BUGFIX] Import missing module 
models/unsupervised.py uses `pt` in line 37, but `pt` is undefined in the file.
I wonder why Python doesn't complain about this. Perhaps because unsupervised.py
is never run in isolation and `pt` is otherwise available in the namespace of
the example scripts that use unsupervised.py.
 2021-06-02 00:31:57 +02:00
Jensun Ravichandran
91b57b01b1 [REFACTOR] neighbour -> neighbor 2021-06-02 00:29:45 +02:00
Jensun Ravichandran
9eb6476078 [BUG] Training unstable in examples/gng_iris.py 2021-06-02 00:21:42 +02:00
Jensun Ravichandran
98c198d463 [REFACTOR] Use LambdaLayer instead of EuclideanDistance 2021-06-02 00:21:11 +02:00
Jensun Ravichandran
ef4d70eee0 Update readme 2021-06-02 00:03:35 +02:00
Jensun Ravichandran
7e241ff7d8 [WIP] Update examples/liramlvq_tecator.py 2021-06-02 00:02:31 +02:00
Jensun Ravichandran
757f4e980d Add Local-Matrix LVQ 
Also remove the use of `self.distance_fn` in favor of `self.distance_layer`.
 2021-06-01 23:44:16 +02:00
Jensun Ravichandran
5ec2dd47cd Remove unused import 2021-06-01 23:40:56 +02:00
Jensun Ravichandran
930f84d3c7 Remove examples/gmlvq_iris.py 2021-06-01 23:40:15 +02:00
Jensun Ravichandran
e8cd4d765c Remove unused variable 2021-06-01 23:39:39 +02:00
Jensun Ravichandran
8403b01081 Move CELVQ to probabilistic.py 2021-06-01 23:39:06 +02:00
Jensun Ravichandran
aff6aedd60 Use the add_components API for adding prototypes 2021-06-01 23:37:45 +02:00
Jensun Ravichandran
1b6843dbbb Remove unused imports 2021-06-01 19:31:03 +02:00
Jensun Ravichandran
21023a88d7 [BUGFIX] Fix RSLVQ 2021-06-01 17:44:10 +02:00
Alexander Engelsberger
9c1a41997b [FEATURE] Add Growing Neural Gas 2021-06-01 17:19:43 +02:00
Jensun Ravichandran
1636c84778 Rename rslvq example 2021-05-31 17:56:45 +02:00
Jensun Ravichandran
27eccf44d4 Use LambdaLayer from ProtoTorch 2021-05-31 16:53:04 +02:00
Alexander Engelsberger
8f4d66edf1 [Bugfix] Fix classcount in LIRAMLVQ example 2021-05-31 11:48:23 +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 
Prevents Accuracy in `__repr__` of the models.
 2021-05-31 11:12:27 +02:00
Jensun Ravichandran
e9d2075fed Sort imports in example scripts 2021-05-31 00:52:16 +02:00
Jensun Ravichandran
7b7bc3693d Merge branch 'dev' of github.com:si-cim/prototorch_models into dev 2021-05-31 00:32:49 +02:00
Jensun Ravichandran
cd73f6c427 Add examples/dynamic_components.py 2021-05-31 00:32:27 +02:00
Alexander Engelsberger
a60337ff27 [refactor] Move probabilistic to Prototorch 2021-05-28 20:39:32 +02:00
Alexander Engelsberger
e3392ee952 [refactor] DRY Probabilistic models 2021-05-28 17:13:06 +02:00
Alexander Engelsberger
dade502686 Add MNIST datamodule and training mixin factory. 2021-05-28 16:33:31 +02:00
Jensun Ravichandran
b7edee02c3 [WIP] Add CELVQ 
TODO Ensure that the distances/probs corresponding to the plabels are sorted
like the target labels.
 2021-05-27 17:40:16 +02:00
Alexander Engelsberger
41b2a2f496 Add model tree to documentation. 2021-05-26 21:29:37 +02:00
Alexander Engelsberger
66e3e51a52 Add references to the documentation. 2021-05-26 21:20:17 +02:00