v.1.2

v1.1

Now can compute N(z) and True plots using output PDFs Check use_pdfs in utils and plot_pdf_use in plot
Add multiple file options to write PDFs files per processor which is faster for BIG files
fixed bug on multiple output file names
Added PDF storage module
Add plotting routines to plot sparse representation
Add keys to input file
Optional fits output (original PDFs)
Updated documentation
Output inputs file fixed
Update usage prompt
Read fits files as input (pyfits 3.3)
Added argument options (--no_train, --no_test, --no_pdfs)
do: ./runMLZ --help for more info
Added colored outputs
Added --check_only option to check the code before a big run. it only train and test on a subsample of the data
Added --print_keys (-pk) option to print current values of keys
Added --modify (-M) to modify on the line command values of keys e.g., name of the file and range of z, --modify minz=0.1 maxz=1.2 testfile=data.fits
csv catalogs supported
Added --replace (-r) option to replace additional output files
Change sparse representation storage, now first element stores the original amplitude instead of 1. (for block summations of PDFs, 2 steps are needed)