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authorAlexandre de Brébisson <adbrebs@users.noreply.github.com>2015-08-06 14:32:37 -0400
committerAlexandre de Brébisson <adbrebs@users.noreply.github.com>2015-08-06 14:32:37 -0400
commit5e25fbfcfcc77137f0063e78ff97bdb88b7a255d (patch)
treea387a20d5d37980e187ca10d1afffedc2837dfd3
parentefdfe8393ed098d425a531e76d81caf56e04899a (diff)
downloadtaxi-5e25fbfcfcc77137f0063e78ff97bdb88b7a255d.tar.gz
taxi-5e25fbfcfcc77137f0063e78ff97bdb88b7a255d.zip
Update README.md
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-Winning entry to the Kaggle ECML/PKDD destination competition.
-
-https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i
-
+Code of the winning entry to the Kaggle ECML/PKDD destination competition(https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i). Our approach is described there: http://arxiv.org/abs/1508.00021
## Dependencies
@@ -39,7 +36,7 @@ Here is a brief description of the Python files in the archive:
## How to reproduce the winning results?
-There is an helper script `prepare.sh` which might helps you (by performing steps 1-6 and some other checks), but if you encounter an error, the script will re-execute all the steps from the beginning (before the actual training, steps 2, 4 and 5 are quite long).
+There is an helper script `prepare.sh` which might help you (by performing steps 1-6 and some other checks), but if you encounter an error, the script will re-execute all the steps from the beginning (before the actual training, steps 2, 4 and 5 are quite long).
Note that some script expect the repository to be in your PYTHONPATH (go to the root of the repository and type `export PYTHONPATH="$PWD:$PYTHONPATH"`).