Spam Trainer

Spam Trainer is a software that was designed specifically for GNOME users. It simplifies the process of training spam filtering software through an artificial intelligence that learns how to differentiate between ham (real email) and spam (unsolicited messages). However, not all email clients have spam filtering and training already in-built. It can be tiresome to train external filtering programs. Spam Trainer is a solution that was born to address this issue.

Spam Trainer allows easy drag and drop training from the Evolution mail client. The software should work just as well with any other email client that supports the drag and drop protocol implemented by the GTK+ toolkit. The requirements for using Spam Trainer are GNOME, Mono, and GTK#.

To use the software, right-click to access the preferences menu and set up training commands. Users can train email messages as ham or spam by dropping them onto the appropriate icons. The messages are then stored in temporary files that users can refer back to for their training commands by the string %f. For example, to pass spam to SpamBayes' sb_filter.py script on standard input, use the command sb_filter.py -s < %f.

When users drop several messages at a go, Evolution batches them up into an mbox file that is passed to the training script. Spam Trainer's latest release, version 0.1.5, addresses issues that users experienced with version 0.1.4. The previous version did not run correctly with newer releases of Mono, and the configure script failed on some of the more recent Linux distributions.

In summary, Spam Trainer is an efficient and straightforward software that helps users train their spam filtering software. It is easy to use and works with most email clients that support the drag and drop protocol implemented by GTK+. Its latest release, version 0.1.5, addresses earlier bugs, making it an even more reliable software.