Transfer-learning allow additional fragtypes #421
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mschwoer
approved these changes
Jan 10, 2025
| assert ( | ||
| self._train_fraction + self._validation_fraction + self._test_fraction | ||
| <= 1.0 | ||
| ), "The sum of the train, validation and test fractions should be less than or equal to 1.0" | ||
| super().__init__(mask_modloss, device, self.charged_frag_types) |
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I would prefer calling this init still at the top..
def ...(..):
charged_frag_types = (
get_charged_frag_types(fragment_types, max_charge)
if fragment_types
else None
)
super().__init__(mask_modloss, device, charged_frag_types)
self.charged_frag_types = charged_frag_types
...
I did not find a proper resource, but I feel the parent init should be called "as early as possible"
https://stackoverflow.com/a/77975817
| @@ -0,0 +1,480 @@ | |||
| { | |||
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A small initial description of what the purpose of this nb is would be nice
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Using the functionality introduced in peptdeep PR.
To allow finetuning a pretrained model to be able to predict different number of charged_frag_types while using the pretrained backbone as a starting point for the weights.