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Add prototype_initializer function to GLVQ

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This allows overwriting it inside subclasses.
This commit is contained in:
Alexander Engelsberger 2021-05-21 17:11:27 +02:00
parent 7b4f7d84e0
commit 8ce18f83ce
1 changed files with 4 additions and 2 deletions
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prototorch/models/glvq.py
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@ -22,7 +22,6 @@ class GLVQ(AbstractPrototypeModel):
self.distance_fn = kwargs.get("distance_fn", euclidean_distance)
self.optimizer = kwargs.get("optimizer", torch.optim.Adam)
prototype_initializer = kwargs.get("prototype_initializer", None)
# Default Values
self.hparams.setdefault("transfer_fn", "identity")
@ -31,13 +30,16 @@ class GLVQ(AbstractPrototypeModel):
self.proto_layer = LabeledComponents(
distribution=self.hparams.distribution,
initializer=prototype_initializer)
initializer=self.prototype_initializer(**kwargs))
self.transfer_fn = get_activation(self.hparams.transfer_fn)
self.acc_metric = torchmetrics.Accuracy()
self.loss = glvq_loss
def prototype_initializer(self, **kwargs):
return kwargs.get("prototype_initializer", None)
@property
def prototype_labels(self):
return self.proto_layer.component_labels.detach().cpu()