Remove duplicate from data. split train/valid/test according to date

This should avoid having the same examples (or really close ones, like
pings between the same IPs that are close in time) both in training and
testing error, as was previously the case (leading to overfitting).
Report ordering accuracy normalized by source IP

Also code to plot TRAIN heat map
Add new training objectives (L1 norm, Kendall's tau)

L1 works best.
Also use more recent data
Small update to readme
Add function to process csv files from ic2012 to pkl
Updata dataset export function for other sets than ios
New OA definition, save figures automatically
Main script to train all models
Report and figures (including extra)
Ignore files generated by latex
Ignore vim tmp files
Add logs of experiments, with numerical results
Final version of the PDF
Merge pull request #3 from lamblin/master

Everything needed for the new report