Closed nebgnahz closed 8 years ago
One issue is that it looks like the training samples are fed through the same pipeline as the live data, which makes the live data features glitch when I navigate through the training samples. Should we have a clone of the pipeline that we only use for extracting features from the training samples?
Yes we should! Maybe a new issue?
Not merging to master frequent enough is a problem...
It seems like this no longer crashes if there aren't any feature extraction modules, so you should probably go ahead and merge it. I'll open a new issue for the pipeline duplication.
populateSampleFeatures
). Ideally the features could have been saved [1].[1] To save the features, then we need a vector of vectors holding all the feature data; they are for each class and each sample. It seems to make sense to implement this in the training data manager. I am leaving that as a future (separate) change request.
References #136