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author | Alexandre de Brébisson <adbrebs@users.noreply.github.com> | 2015-08-06 14:32:37 -0400 |
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committer | Alexandre de Brébisson <adbrebs@users.noreply.github.com> | 2015-08-06 14:32:37 -0400 |
commit | 5e25fbfcfcc77137f0063e78ff97bdb88b7a255d (patch) | |
tree | a387a20d5d37980e187ca10d1afffedc2837dfd3 | |
parent | efdfe8393ed098d425a531e76d81caf56e04899a (diff) | |
download | taxi-5e25fbfcfcc77137f0063e78ff97bdb88b7a255d.tar.gz taxi-5e25fbfcfcc77137f0063e78ff97bdb88b7a255d.zip |
Update README.md
-rw-r--r-- | README.md | 7 |
1 files changed, 2 insertions, 5 deletions
@@ -1,7 +1,4 @@ -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"`). |