P300Classifier .prm
Posted: 08 Feb 2016, 18:45
Hello,
I am unclear of the intended order of operations for the written parameter file that the P300Classifier outputs. From some train and test data I have what appears to be a potentially good classifier, and have output the .prm file. I'm a little unsure how this is intended to be used. My thought is that if I wanted to free spell, I would load the .prm file I was using for copy spelling and then load the .prm output by the P300Classifier, change the application settings for free spelling, and wallah, or maybe vice verse. This did not seem to give good results when free spelling.
Is this the right approach?
Am I supposed to do an "online classification" of some sort instead at this point, I think I've seen that term used a few times.
Perhaps I didn't create a robust enough weights matrix, what would be a recommended training data to testing data ratio?
I realize the quality of the data in the data files is important here, but I feel that my data was likely both consistent and relatively clean.
Thanks!
I am unclear of the intended order of operations for the written parameter file that the P300Classifier outputs. From some train and test data I have what appears to be a potentially good classifier, and have output the .prm file. I'm a little unsure how this is intended to be used. My thought is that if I wanted to free spell, I would load the .prm file I was using for copy spelling and then load the .prm output by the P300Classifier, change the application settings for free spelling, and wallah, or maybe vice verse. This did not seem to give good results when free spelling.
Is this the right approach?
Am I supposed to do an "online classification" of some sort instead at this point, I think I've seen that term used a few times.
Perhaps I didn't create a robust enough weights matrix, what would be a recommended training data to testing data ratio?
I realize the quality of the data in the data files is important here, but I feel that my data was likely both consistent and relatively clean.
Thanks!