mark: to simplify aws stuff, adding data in a zip
mark: think the saving isn't working because using same names
mark: script to parallelise and report
mark: all have the same thread name damnit
Mark: seeing how it goes if we build first
mark: train against the whole data set
mark: tweaking heap/output
mark: calculated which pixels have a variance of 0. Also tweaked algorithms to exclude those pixels
mark: build the descriptor from actual features
mark: better if it's one indexed
mark: did the removal of features incorrectly before. Fixed that
mark: trying ignoring pixels on the neural nets
mark: making it possible to call mahout from lein run
mark: making number of trees parameterisable
mark: empty line
mark: stuff we played with in foyles
mark: according to R these are the features with zero variance
mark: making all the variables passed in from command line
mark: adding pro-processing code
mark: tidying up code - now writes out to a file with pixels removed