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# CricketPrediction | ||
Predict a cricket match ball by ball. Simulation of a cricket match using Big Data analysis. This is a college project, developed as part of BigData learning exercise, focus on clustering of batsman and bowler and prediction on runs. | ||
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#How to run | ||
- cd ipl/run | ||
- vi runme.py // set ifile variable to input file ie. Match that need to be simulated | ||
- python runme.py > out.txt | ||
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#Major assumption | ||
Currently, This project can only simulate an already played match, since we need the bating order and bowling order to be know before simulation. ie. Information on which batsman played against which bowler need to be know before simulation. Currently working on it... | ||
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#Clustering tool | ||
https://code.google.com/p/bayon/ | ||
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#Data Source | ||
http://cricsheet.org/ | ||
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#TODO | ||
- Consider extras | ||
- Consider wickets | ||
- Strike change | ||
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... Contributions accepted :) | ||
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