intermediate structures and fitness function #2
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Structures for GA population & simple fitness function
Minimum viable product, can successfully determine spam messages with over 88% accuracy if iterations set high enough. (note: currently training data and test data are the same, must change later)
Fixed memory errors from storing too many local copies of large vectors
-Seperated data used for training (5524 messages) and testing (50 messages) -Implemented a new random function for generating random numbers used -Changed weighting of chromosomes during tests and training Note because seed is now randomized for random numbers, reults will vary between each execution of the program.
-Added finish condition for when there is less than 12 unique chromosomes left -Updated test data from 50 messages to 100 messages for more consistant results -minor comments and tweaks
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Structures for GA population & simple fitness function.
Note: Created own build script on local machine for building the source files in the project. Have not updated CMAKE with new files.