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A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas

License: GNU General Public License v3.0

Shell 0.01% Python 0.47% Jupyter Notebook 99.53%

combining-timeseries-textdata data-fusion deep-learning keras taxi-demand-prediction textual-data time-series

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fzeeshan pepsalehi lnsongxf drwxyh yhn280385395 tsukar akshala hisham32 xiang526 laxmangautam xianhuaxizi sol-2 poisonbox emilygong-zhuying zkun-liu kramer102 poulami40 michael-wzhu

combining-timeseries-textdata's Issues

Barclays pickups data

I notice that there is no pickups_barclays_center_0.003.csv file that is used by the barclays*/run_experiments.py files (though you do have the equivalent file for Terminal 5). Can you add this file to the repo as well? Thanks!

Doubt regarding predictions

I wanted to know if there is a way that I can make the model predict for next 'Xth' day by changing any parameter in the model?
Thanks in advance.

Regards
Ayushmaan Kaul

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