begun implementation of pylearn2's dataset package as a torch data package. Also begun implementation of the more pressing optim.learn, which is similar to pylearn2's TrainingAlgorithm
Added a datatensor class which implements the pylearn2 view-converter and allows for multiple-space inputs and outputs. Still needs to be integrated with dataset and preprocessing
finished preliminary debugging of datatensor.lua
starting to build experiment, which has 3 propagators, one for optimization, one for cross-validation, one for testing
dp/init.lua compiles, although much debugging is still required. Started working on builder and logger. torch-dataset and derivatives are no longer dependencies.
Merge branch 'master' of https://github.com/nicholas-leonard/equanimity