I haven't had time to play with this plugin, but my understanding of this type
of NN is that it doesn't work well with incremental training. Meaning that if
just one item is added to the training set, the whole learning process needs to
be re-run. Otherwise the model adjusts it's weights to match the new sample at
the expense of all previous samples. I'm just wondering if you've run into this
and if you have any preliminary accuracy statistics from this plugin.
On Tue, Dec 30, 2025 at 03:33 AM, Giovanni Bechis <[email protected]> wrote:
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Hi,
I've just committed to my Github repo the first version of a SpamAssassin
plugin that uses Neural Networks to detect spam messages.
Code is available at https://github.com/bigio/spamassassin-NeuralNetwork
(https://github.com/bigio/spamassassin-NeuralNetwork) , if the community is
interested I can work on merging it to the Apache SpamAssassin src tree.
Testers are always welcome.
Cheers
Giovanni
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Giovanni Bechis
V.P. Apache SpamAssassin
[email protected] (mailto:[email protected])
