kyle kyle0329
anonymous
/ bandit_simulations.py
Created
May 9, 2014 21:38
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| import numpy as np | |
| from matplotlib import pylab as plt | |
| #from mpltools import style # uncomment for prettier plots | |
| #style.use(['ggplot']) | |
| ''' | |
| function definitions | |
| ''' | |
| # generate all bernoulli rewards ahead of time | |
| def generate_bernoulli_bandit_data(num_samples,K): |
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| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |