The big one for this branch: added a new subdirectory to deal with code for hyperparameter search.
Added default hyperparameter values for the hyperparameter search test sript.
Renamed the SdA hyperparameter test script.
A testing patch for the hyperparam job submission script.
Removed print statements from hyperparam_gridsearch.sh, changed filename convention in hyperparam_multiproc to use dash.
Fixed a bug in hyperparam_multiproc (reference to arch_list instead of shared_args_dict['arch']), renamed job outputs in .sh scripts
Initialize numpy_rng so it is in scope when the SdA constructor is called *facepalm*
Fetching the data before building the model is a good thing.
Fixed import of SdA class in hyperparam_multiproc
Added a script to parse the hyper-parameter search results.
Missing a reference to hparam dict when calculating the mean of costs for a particular hparam value
Fixed extraction of value and score from list of tuples
Adding functionality to SdA to handle reconstruction error as fine-tuning error monitor.
Added updates to compute functions that roll out the SdA to reproduce the input, and added a fine-tuning driver script for the SdA
Ready to start testing fine-tuning
Passing model file properly now.
Make sure to pass the model file properly in finetuning.
Added setting of finetune_cost and errors to __setstate__ in SdA.
Fixed reference to n_layers in SdA reconstruct_input
Rewrote looping over dA_layers to be more pythonic