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budget-learning

Feature budgeted Forest :

  • code migrated from visual c++ to g++
  • dependancies : lpsolve (included) cplex (cplex path has to be changed in makefile)

Greedy miser:

  • based on RTrank
  • maximum number of features is assumed under 1000
  • core written in c++ (Greedymiser/cart)
  • compiled linux 64 bit binary and makefile provided
  • input has to be in svmlight file format (from data directory)
  • python sklearn like interface in miser.py
  • results in jupyter notebook (Miser_Synth_Results)

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